{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T02:35:30Z","timestamp":1773023730947,"version":"3.50.1"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2024,11,25]],"date-time":"2024-11-25T00:00:00Z","timestamp":1732492800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,11,25]],"date-time":"2024-11-25T00:00:00Z","timestamp":1732492800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Science and Technology Innovation Commission of Shenzhen","award":["JCYJ20210324135011030"],"award-info":[{"award-number":["JCYJ20210324135011030"]}]},{"name":"Science and Technology Innovation Commission of Shenzhen","award":["JCYJ20210324115604012"],"award-info":[{"award-number":["JCYJ20210324115604012"]}]},{"name":"Guangdong Pearl River Plan","award":["2019QN01X890"],"award-info":[{"award-number":["2019QN01X890"]}]},{"name":"High-End Foreign Expert Talent Introduction Plan","award":["G2021032022L"],"award-info":[{"award-number":["G2021032022L"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Scientometrics"],"published-print":{"date-parts":[[2024,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The distribution of scientific project funds is usually based on manual allocation, which is inefficient. Other automatic allocation methods are difficult to balance projects in different fields. In this study, we first utilize the adaptive similarity fitting method, leveraging historical project data to construct an input\u2013output fitting model. Subsequently, we align the input\u2013output model with data from projects awaiting funding through the application of scaling factors. Viewing project funds distribution as a multi-objective optimization problem, we employ the NSGA-II algorithm for optimization. Cases in a certain region illustrate the efficacy of our approach in the efficient distribution of research project funds, addressing the diverse preferences of decision-makers. After applying our method to reassign funds for a research grant project in a certain region, while keeping the total funding amount unchanged, the research and talent output in the region for the year 2020 are expected to increase by 10.63% and 6%, respectively. Similarly, for the year 2021, the increases in research and talent output are 6.09% and 6.64%. The total funding amount for the year 2020 can be reduced by 11.67% with the output stays the same, and for 2021, the funding amount can be reduced by 7%.<\/jats:p>","DOI":"10.1007\/s11192-024-05190-1","type":"journal-article","created":{"date-parts":[[2024,11,25]],"date-time":"2024-11-25T08:37:59Z","timestamp":1732523879000},"page":"7585-7622","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The distribution of scientific project funds model based on adaptive similarity fitting and NSGA-II"],"prefix":"10.1007","volume":"129","author":[{"given":"Boze","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yandong","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuxuan","family":"Xiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bokui","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7202-1922","authenticated-orcid":false,"given":"Wai Kin Victor","family":"Chan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,25]]},"reference":[{"key":"5190_CR1","doi-asserted-by":"crossref","unstructured":"Adnan, A.A., Yaakob, A.M., Alaudin, R.I. (2022). Fuzzy preference relation and weighting algorithm for ranking and allocating proportion of asset funds. Aip conference proceedings (Vol. 2472).","DOI":"10.1063\/5.0092799"},{"key":"5190_CR2","doi-asserted-by":"publisher","unstructured":"Arkeman, Y., Yusuf, A., Mushthofa, M., FitriLaxmi, G., Seminar, K.B. (2013). The formation of optimal portfolio of mutual shares funds using multi-objective genetic algorithm. TELKOMNIKA (Telecommunication Computing Electronics and Control), 11(3), 625\u2013636, https:\/\/doi.org\/10.12928\/telkomnika.v11i3.1148","DOI":"10.12928\/telkomnika.v11i3.1148"},{"key":"5190_CR3","doi-asserted-by":"crossref","unstructured":"Arora, M., & Devi, M.S. (2009). Weight based funds allocation algorithm. 2009 ieee international advance computing conference (pp. 413\u2013417).","DOI":"10.1109\/IADCC.2009.4809046"},{"key":"5190_CR4","unstructured":"Aulck, L., Nambi, D., West, J. (2020). Increasing enrollment by optimizing scholarship allocations using machine learning and genetic algorithms. International Educational Data Mining Society"},{"key":"5190_CR5","unstructured":"Avin, S. (2015). Breaking the grant cycle: On the rational allocation of public resources to scientific research projects (Unpublished doctoral dissertation)."},{"issue":"12","key":"5190_CR6","doi-asserted-by":"publisher","DOI":"10.15252\/embr.201949472","volume":"20","author":"S Bendiscioli","year":"2019","unstructured":"Bendiscioli, S. (2019). The troubles with peer review for allocating research funding: Funders need to experiment with versions of peer review and decision-making. EMBO reports, 20(12), e49472.","journal-title":"EMBO reports"},{"key":"5190_CR7","unstructured":"Bendiscioli, S., & Garfinkel, M. (2021). Dealing with the limits of peer review with innovative approaches to allocating research funding. EMBO Science Policy Programme."},{"key":"5190_CR8","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1007\/s11047-008-9098-4","volume":"8","author":"L Bianchi","year":"2009","unstructured":"Bianchi, L., Dorigo, M., Gambardella, L. M., & Gutjahr, W. J. (2009). A survey on metaheuristics for stochastic combinatorial optimization. Natural Computing, 8, 239\u2013287. https:\/\/doi.org\/10.1007\/s11047-008-9098-4","journal-title":"Natural Computing"},{"issue":"19","key":"5190_CR9","doi-asserted-by":"publisher","first-page":"4887","DOI":"10.1073\/pnas.1719557115","volume":"115","author":"T Bol","year":"2018","unstructured":"Bol, T., De Vaan, M., & van de Rijt, A. (2018). The matthew effect in science funding. Proceedings of the National Academy of Sciences, 115(19), 4887\u20134890. https:\/\/doi.org\/10.1073\/pnas.1719557115","journal-title":"Proceedings of the National Academy of Sciences"},{"issue":"2","key":"5190_CR10","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1002\/embr.201338068","volume":"15","author":"J Bollen","year":"2014","unstructured":"Bollen, J., Crandall, D., Junk, D., Ding, Y., & B\u00f6rner, K. (2014). From funding agencies to scientific agency: Collective allocation of science funding as an alternative to peer review. EMBO reports, 15(2), 131\u2013133. https:\/\/doi.org\/10.1002\/embr.201338068","journal-title":"EMBO reports"},{"key":"5190_CR11","unstructured":"Britain, G. (2007). The allocations of the science budget, 2008\/09 to 2010\/11 [electronic resource]. Department for Innovation, Universities & Skills."},{"key":"5190_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2458-7-44","volume":"7","author":"JW Buehler","year":"2007","unstructured":"Buehler, J. W., & Holtgrave, D. R. (2007). Challenges in defining an optimal approach to formula-based allocations of public health funds in the united states. BMC Public Health, 7, 1\u20138. https:\/\/doi.org\/10.1186\/1471-2458-7-44","journal-title":"BMC Public Health"},{"key":"5190_CR13","doi-asserted-by":"crossref","unstructured":"Coccia, M., & Roshani, S. (2024). General laws of funding for scientific citations: How citations change in funded and unfunded research between basic and applied sciences. Journal of Data and Information Science,","DOI":"10.2478\/jdis-2024-0005"},{"issue":"1","key":"5190_CR14","doi-asserted-by":"publisher","first-page":"18822","DOI":"10.7448\/IAS.17.1.18822","volume":"17","author":"AP Craig","year":"2014","unstructured":"Craig, A. P., Thein, H.-H., Zhang, L., Gray, R. T., Henderson, K., Wilson, D., & Wilson, D. P. (2014). Spending of hiv resources in asia and eastern europe: Systematic review reveals the need to shift funding allocations towards priority populations. Journal of the International AIDS Society, 17(1), 18822. https:\/\/doi.org\/10.7448\/IAS.17.1.18822","journal-title":"Journal of the International AIDS Society"},{"key":"5190_CR15","doi-asserted-by":"crossref","unstructured":"Deb, K., Agrawal, S., Pratap, A., Meyarivan, T. (2000). A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: Nsga-ii. Parallel problem solving from nature ppsn vi: 6th international conference paris, france, september 18\u201320, 2000 proceedings 6 (pp. 849\u2013858).","DOI":"10.1007\/3-540-45356-3_83"},{"issue":"2","key":"5190_CR16","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1023\/B:SCIE.0000018532.70146.02","volume":"59","author":"K Debackere","year":"2004","unstructured":"Debackere, K., & Gl\u00e4nzel, W. (2004). Using a bibliometric approach to support research policy making: The case of the flemish bof-key. Scientometrics, 59(2), 253\u2013276. https:\/\/doi.org\/10.1023\/B:SCIE.0000018532.70146.02","journal-title":"Scientometrics"},{"issue":"5","key":"5190_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.9734\/JEMT\/2018\/40292","volume":"21","author":"A Donkor","year":"2018","unstructured":"Donkor, A., Darkwah, K., Appati, J., Gakpleazi, P., & Wisdom, N. (2018). Optimal allocation of funds for loans using karmarkar\u2019s algorithm: Capital rural bank, sunyani-ghana. Journal of Economics, Management and Trade, 21(5), 1\u201313.","journal-title":"Journal of Economics, Management and Trade"},{"issue":"1","key":"5190_CR18","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1109\/4235.585892","volume":"1","author":"M Dorigo","year":"1997","unstructured":"Dorigo, M., & Gambardella, L. M. (1997). Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Transactions on Evolutionary Computation, 1(1), 53\u201366. https:\/\/doi.org\/10.1109\/4235.585892","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"5190_CR19","doi-asserted-by":"crossref","unstructured":"Fang, F.C., & Casadevall, A. (2016). Research funding: The case for a modified lottery. 7(2). Am Soc Microbiol.","DOI":"10.1128\/mBio.00422-16"},{"issue":"4","key":"5190_CR20","doi-asserted-by":"publisher","first-page":"419","DOI":"10.1061\/(ASCE)CP.1943-5487.0000249","volume":"27","author":"T Hegazy","year":"2013","unstructured":"Hegazy, T., & Rashedi, R. (2013). Large-scale asset renewal optimization using genetic algorithms plus segmentation. Journal of Computing in Civil Engineering, 27(4), 419\u2013426. https:\/\/doi.org\/10.1061\/(ASCE)CP.1943-5487.0000249","journal-title":"Journal of Computing in Civil Engineering"},{"issue":"2","key":"5190_CR21","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1137\/0202009","volume":"2","author":"JH Holland","year":"1973","unstructured":"Holland, J. H. (1973). Genetic algorithms and the optimal allocation of trials. SIAM Journal on Computing, 2(2), 88\u2013105. https:\/\/doi.org\/10.1137\/0202009","journal-title":"SIAM Journal on Computing"},{"issue":"8","key":"5190_CR22","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1016\/0305-0548(93)90109-V","volume":"20","author":"C-L Hwang","year":"1993","unstructured":"Hwang, C.-L., Lai, Y.-J., & Liu, T.-Y. (1993). A new approach for multiple objective decision making. Computers & Operations Research, 20(8), 889\u2013899. https:\/\/doi.org\/10.1016\/0305-0548(93)90109-V","journal-title":"Computers & Operations Research"},{"issue":"1","key":"5190_CR23","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1061\/(ASCE)0733-9488(2007)133:1(82)","volume":"133","author":"MG Karlaftis","year":"2007","unstructured":"Karlaftis, M. G., Kepaptsoglou, K. L., & Lambropoulos, S. (2007). Fund allocation for transportation network recovery following natural disasters. Journal of Urban Planning and Development, 133(1), 82\u201389. https:\/\/doi.org\/10.1061\/(ASCE)0733-9488(2007)133:1(82)","journal-title":"Journal of Urban Planning and Development"},{"key":"5190_CR24","doi-asserted-by":"crossref","unstructured":"Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. Proceedings of icnn\u201995-international conference on neural networks (Vol.\u00a04, pp. 1942\u20131948).","DOI":"10.1109\/ICNN.1995.488968"},{"issue":"4598","key":"5190_CR25","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"S Kirkpatrick","year":"1983","unstructured":"Kirkpatrick, S., Gelatt, C. D., Jr., & Vecchi, M. P. (1983). Optimization by simulated annealing. Science, 220(4598), 671\u2013680. https:\/\/doi.org\/10.1126\/science.220.4598.671","journal-title":"Science"},{"issue":"1","key":"5190_CR26","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1016\/j.joi.2017.01.001","volume":"11","author":"E Kulczycki","year":"2017","unstructured":"Kulczycki, E., Korze\u0144, M., & Korytkowski, P. (2017). Toward an excellence-based research funding system: Evidence from poland. Journal of Informetrics, 11(1), 282\u2013298. https:\/\/doi.org\/10.1016\/j.joi.2017.01.001","journal-title":"Journal of Informetrics"},{"issue":"1","key":"5190_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2020.101108","volume":"15","author":"CH Liao","year":"2021","unstructured":"Liao, C. H. (2021). The matthew effect and the halo effect in research funding. Journal of Informetrics, 15(1), 101108. https:\/\/doi.org\/10.1016\/j.joi.2020.101108","journal-title":"Journal of Informetrics"},{"key":"5190_CR28","doi-asserted-by":"publisher","first-page":"140234","DOI":"10.1109\/ACCESS.2020.3013097","volume":"8","author":"S Lim","year":"2020","unstructured":"Lim, S., Kim, M.-J., & Ahn, C. W. (2020). A genetic algorithm (ga) approach to the portfolio design based on market movements and asset valuations. IEEE Access, 8, 140234\u2013140249. https:\/\/doi.org\/10.1109\/ACCESS.2020.3013097","journal-title":"IEEE Access"},{"key":"5190_CR29","doi-asserted-by":"publisher","unstructured":"Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D.. Stoyanov, V. (2019). Roberta: A robustly optimized bert pretraining approach. arXiv preprint[SPACE]arXiv:1907.11692, https:\/\/doi.org\/10.48550\/arXiv.1907.11692","DOI":"10.48550\/arXiv.1907.11692"},{"key":"5190_CR30","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1007\/s00158-003-0368-6","volume":"26","author":"RT Marler","year":"2004","unstructured":"Marler, R. T., & Arora, J. S. (2004). Survey of multi-objective optimization methods for engineering. Structural and Multidisciplinary Optimization, 26, 369\u2013395. https:\/\/doi.org\/10.1007\/s00158-003-0368-6","journal-title":"Structural and Multidisciplinary Optimization"},{"issue":"8","key":"5190_CR31","doi-asserted-by":"publisher","first-page":"754","DOI":"10.1111\/jeb.13497","volume":"32","author":"S Meirmans","year":"2019","unstructured":"Meirmans, S., Butlin, R. K., Charmantier, A., Engelst\u00e4dter, J., Groot, A. T., King, K. C., & Neiman, M. (2019). Science policies: How should science funding be allocated? An evolutionary biologists\u2019 perspective. Journal of Evolutionary Biology, 32(8), 754\u2013768. https:\/\/doi.org\/10.1111\/jeb.13497","journal-title":"Journal of Evolutionary Biology"},{"key":"5190_CR32","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.jnca.2017.11.016","volume":"103","author":"S Midya","year":"2018","unstructured":"Midya, S., Roy, A., Majumder, K., & Phadikar, S. (2018). Multi-objective optimization technique for resource allocation and task scheduling in vehicular cloud architecture: A hybrid adaptive nature inspired approach. Journal of Network and Computer Applications, 103, 58\u201384. https:\/\/doi.org\/10.1016\/j.jnca.2017.11.016","journal-title":"Journal of Network and Computer Applications"},{"issue":"4","key":"5190_CR33","doi-asserted-by":"publisher","first-page":"1931","DOI":"10.1007\/s11192-022-04300-1","volume":"127","author":"M Mosleh","year":"2022","unstructured":"Mosleh, M., Roshani, S., & Coccia, M. (2022). Scientific laws of research funding to support citations and diffusion of knowledge in life science. Scientometrics, 127(4), 1931\u20131951.","journal-title":"Scientometrics"},{"issue":"12","key":"5190_CR34","doi-asserted-by":"publisher","first-page":"e191","DOI":"10.1016\/j.na.2008.10.060","volume":"71","author":"R Parreiras","year":"2009","unstructured":"Parreiras, R., & Vasconcelos, J. (2009). Decision making in multiobjective optimization aided by the multicriteria tournament decision method. Nonlinear Analysis: Theory, Methods & Applications, 71(12), e191\u2013e198. https:\/\/doi.org\/10.1016\/j.na.2008.10.060","journal-title":"Nonlinear Analysis: Theory, Methods & Applications"},{"issue":"3","key":"5190_CR35","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1093\/scipol\/scab084","volume":"49","author":"A Philipps","year":"2022","unstructured":"Philipps, A. (2022). Research funding randomly allocated? a survey of scientists\u2019 views on peer review and lottery. Science and Public Policy, 49(3), 365\u2013377.","journal-title":"Science and Public Policy"},{"issue":"1","key":"5190_CR36","first-page":"64","volume":"41","author":"W Quanling","year":"2011","unstructured":"Quanling, W., & Yingying, Z. (2011). Applying dea model to the allocation and the management of funds. Mathematics in Practice and Theory, 41(1), 64\u201370.","journal-title":"Mathematics in Practice and Theory"},{"issue":"8","key":"5190_CR37","doi-asserted-by":"publisher","first-page":"1381","DOI":"10.1080\/00207728908910222","volume":"20","author":"J Rao","year":"1989","unstructured":"Rao, J., & Roy, N. (1989). Fuzzy set theoretic approach of assigning weights to objectives in multieriteria decision making. International Journal of Systems Science, 20(8), 1381\u20131386. https:\/\/doi.org\/10.1080\/00207728908910222","journal-title":"International Journal of Systems Science"},{"issue":"3","key":"5190_CR38","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1093\/reseval\/rvx019","volume":"26","author":"E Reale","year":"2017","unstructured":"Reale, E., & Zinilli, A. (2017). Evaluation for the allocation of university research project funding: Can rules improve the peer review? Research Evaluation, 26(3), 190\u2013198. https:\/\/doi.org\/10.1093\/reseval\/rvx019","journal-title":"Research Evaluation"},{"key":"5190_CR39","doi-asserted-by":"publisher","unstructured":"Reimers, N., & Gurevych, I. (2019). Sentence-bert: Sentence embeddings using siamese bert-networks. https:\/\/doi.org\/10.48550\/arXiv.1908.10084. arXiv preprint[SPACE]arXiv:1908.10084.","DOI":"10.48550\/arXiv.1908.10084"},{"issue":"9","key":"5190_CR40","doi-asserted-by":"publisher","first-page":"7859","DOI":"10.1007\/s11192-021-04077-9","volume":"126","author":"S Roshani","year":"2021","unstructured":"Roshani, S., Bagherylooieh, M.-R., Mosleh, M., & Coccia, M. (2021). What is the relationship between research funding and citation-based performance? a comparative analysis between critical disciplines. Scientometrics, 126(9), 7859\u20137874.","journal-title":"Scientometrics"},{"issue":"6","key":"5190_CR41","doi-asserted-by":"publisher","first-page":"994","DOI":"10.1177\/0162243918822744","volume":"44","author":"L Roumbanis","year":"2019","unstructured":"Roumbanis, L. (2019). Peer review or lottery? a critical analysis of two different forms of decision-making mechanisms for allocation of research grants. Science, Technology, & Human Values, 44(6), 994\u20131019. https:\/\/doi.org\/10.1177\/0162243918822744","journal-title":"Science, Technology, & Human Values"},{"issue":"3","key":"5190_CR42","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1016\/0022-2496(77)90033-5","volume":"15","author":"T Saaty","year":"1977","unstructured":"Saaty, T. (1977). A scaling method for priorities in hierarchies, multiple objectives and fuzzy sets. Journal of Mathematical Psychology, 15(3), 234\u2013281.","journal-title":"Journal of Mathematical Psychology"},{"issue":"1","key":"5190_CR43","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1016\/j.joi.2018.01.007","volume":"12","author":"U Sandstr\u00f6m","year":"2018","unstructured":"Sandstr\u00f6m, U., & Van den Besselaar, P. (2018). Funding, evaluation, and the performance of national research systems. Journal of Informetrics, 12(1), 365\u2013384. https:\/\/doi.org\/10.1016\/j.joi.2018.01.007","journal-title":"Journal of Informetrics"},{"issue":"4","key":"5190_CR44","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1300\/J105v09n04_03","volume":"9","author":"M Sellen","year":"1988","unstructured":"Sellen, M. (1988). Book budget formula allocations: a review essay. Collection Management, 9(4), 13\u201324. https:\/\/doi.org\/10.1300\/J105v09n04_03","journal-title":"Collection Management"},{"issue":"7324","key":"5190_CR45","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1038\/468627a","volume":"468","author":"P Shapira","year":"2010","unstructured":"Shapira, P., & Wang, J. (2010). Follow the money. Nature, 468(7324), 627\u2013628.","journal-title":"Nature"},{"key":"5190_CR46","doi-asserted-by":"crossref","unstructured":"Shi, Y., & Eberhart, R. (1998). A modified particle swarm optimizer. 1998 ieee international conference on evolutionary computation proceedings. ieee world congress on computational intelligence (cat. no. 98th8360) (pp. 69\u201373).","DOI":"10.1109\/ICEC.1998.699146"},{"issue":"3","key":"5190_CR47","doi-asserted-by":"publisher","first-page":"1360","DOI":"10.1007\/s12597-023-00660-1","volume":"60","author":"G Shojatalab","year":"2023","unstructured":"Shojatalab, G., Nasseri, S. H., & Mahdavi, I. (2023). New multi-objective optimization model for tourism systems with fuzzy data and new approach developed epsilon constraint method. OPSEARCH, 60(3), 1360\u20131385. https:\/\/doi.org\/10.1007\/s12597-023-00660-1","journal-title":"OPSEARCH"},{"key":"5190_CR48","doi-asserted-by":"publisher","unstructured":"Sianipar, V.V., Wanto, A., Safii, M. (2020). Decision support system for determination of village fund allocation using ahp method. The IJICS (International Journal of Informatics and Computer Science), 4(1), 20\u201328, https:\/\/doi.org\/10.30865\/ijics.v4i1.2101","DOI":"10.30865\/ijics.v4i1.2101"},{"issue":"3","key":"5190_CR49","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1016\/S0921-8009(03)00092-2","volume":"45","author":"H Simianer","year":"2003","unstructured":"Simianer, H., Marti, S., Gibson, J., Hanotte, O., & Rege, J. (2003). An approach to the optimal allocation of conservation funds to minimize loss of genetic diversity between livestock breeds. Ecological Economics, 45(3), 377\u2013392. https:\/\/doi.org\/10.1016\/S0921-8009(03)00092-2","journal-title":"Ecological Economics"},{"key":"5190_CR50","doi-asserted-by":"publisher","unstructured":"Skalse, J., Hammond, L., Griffin, C., Abate, A. (2022). Lexicographic multi-objective reinforcement learning. Proceedings of the thirty-first international joint conference on artificial intelligence. International Joint Conferences on Artificial Intelligence Organization. https:\/\/doi.org\/10.24963\/ijcai.2022\/476","DOI":"10.24963\/ijcai.2022\/476"},{"issue":"1","key":"5190_CR51","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1108\/01604950810846224","volume":"27","author":"DA Smith","year":"2008","unstructured":"Smith, D. A. (2008). Percentage based allocation of an academic library materials budget. Collection Building, 27(1), 30\u201334. https:\/\/doi.org\/10.1108\/01604950810846224","journal-title":"Collection Building"},{"issue":"3","key":"5190_CR52","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1162\/evco.1994.2.3.221","volume":"2","author":"N Srinivas","year":"1994","unstructured":"Srinivas, N., & Deb, K. (1994). Muiltiobjective optimization using nondominated sorting in genetic algorithms. Evolutionary Computation, 2(3), 221\u2013248. https:\/\/doi.org\/10.1162\/evco.1994.2.3.221","journal-title":"Evolutionary Computation"},{"key":"5190_CR53","doi-asserted-by":"publisher","DOI":"10.1201\/b11032","volume-title":"Multiple attribute decision making: methods and applications","author":"G-H Tzeng","year":"2011","unstructured":"Tzeng, G.-H., & Huang, J.-J. (2011). Multiple attribute decision making: methods and applications. CRC Press."},{"issue":"5","key":"5190_CR54","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1016\/j.healthpol.2020.02.013","volume":"124","author":"R Waitzberg","year":"2020","unstructured":"Waitzberg, R., Schmidt, A. E., Bl\u00fcmel, M., Penneau, A., Farmakas, A., Ljungvall, \u00c5., et al. (2020). Mapping variability in allocation of long-term care funds across payer agencies in oecd countries. Health Policy, 124(5), 491\u2013500. https:\/\/doi.org\/10.1016\/j.healthpol.2020.02.013","journal-title":"Health Policy"},{"issue":"4","key":"5190_CR55","doi-asserted-by":"publisher","first-page":"263","DOI":"10.5860\/lrts.51n4.263","volume":"51","author":"WH Walters","year":"2011","unstructured":"Walters, W. H. (2011). A regression-based approach to library fund allocation. Library Resources & Technical Services, 51(4), 263\u2013278. https:\/\/doi.org\/10.5860\/lrts.51n4.263","journal-title":"Library Resources & Technical Services"},{"issue":"8","key":"5190_CR56","doi-asserted-by":"publisher","first-page":"8164","DOI":"10.1109\/TVT.2020.2996954","volume":"69","author":"H Wang","year":"2020","unstructured":"Wang, H., Huang, Y., Khajepour, A., Cao, D., & Lv, C. (2020). Ethical decision-making platform in autonomous vehicles with lexicographic optimization based model predictive controller. IEEE Transactions on Vehicular Technology, 69(8), 8164\u20138175. https:\/\/doi.org\/10.1109\/TVT.2020.2996954","journal-title":"IEEE Transactions on Vehicular Technology"},{"issue":"3","key":"5190_CR57","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1007\/s11192-011-0362-5","volume":"87","author":"J Wang","year":"2011","unstructured":"Wang, J., & Shapira, P. (2011). Funding acknowledgement analysis: an enhanced tool to investigate research sponsorship impacts: the case of nanotechnology. Scientometrics, 87(3), 563\u2013586.","journal-title":"Scientometrics"},{"key":"5190_CR58","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1007\/s11192-017-2583-8","volume":"115","author":"E Yan","year":"2018","unstructured":"Yan, E., Wu, C., & Song, M. (2018). The funding factor: A cross-disciplinary examination of the association between research funding and citation impact. Scientometrics, 115, 369\u2013384.","journal-title":"Scientometrics"},{"issue":"4","key":"5190_CR59","doi-asserted-by":"publisher","first-page":"1146","DOI":"10.1016\/j.joi.2018.09.003","volume":"12","author":"Z Yin","year":"2018","unstructured":"Yin, Z., Liang, Z., & Zhi, Q. (2018). Does the concentration of scientific research funding in institutions promote knowledge output? Journal of Informetrics, 12(4), 1146\u20131159. https:\/\/doi.org\/10.1016\/j.joi.2018.09.003","journal-title":"Journal of Informetrics"},{"issue":"1","key":"5190_CR60","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/j.ejor.2016.12.023","volume":"260","author":"S Yu","year":"2017","unstructured":"Yu, S., Zheng, S., Gao, S., & Yang, J. (2017). A multi-objective decision model for investment in energy savings and emission reductions in coal mining. European Journal of Operational Research, 260(1), 335\u2013347. https:\/\/doi.org\/10.1016\/j.ejor.2016.12.023","journal-title":"European Journal of Operational Research"},{"issue":"3","key":"5190_CR61","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1093\/scipol\/scaa024","volume":"47","author":"G Zhang","year":"2020","unstructured":"Zhang, G., Xiong, L., Wang, X., Dong, J., & Duan, H. (2020). Artificial selection versus natural selection: Which causes the matthew effect of science funding allocation in china? Science and Public Policy, 47(3), 434\u2013445. https:\/\/doi.org\/10.1093\/scipol\/scaa024","journal-title":"Science and Public Policy"},{"key":"5190_CR62","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1007\/s11192-015-1773-5","volume":"106","author":"Q Zhi","year":"2016","unstructured":"Zhi, Q., & Meng, T. (2016). Funding allocation, inequality, and scientific research output: An empirical study based on the life science sector of natural science foundation of china. Scientometrics, 106, 603\u2013628. https:\/\/doi.org\/10.1007\/s11192-015-1773-5","journal-title":"Scientometrics"},{"issue":"3","key":"5190_CR63","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1016\/j.ejor.2010.10.021","volume":"210","author":"E Zio","year":"2011","unstructured":"Zio, E., & Bazzo, R. (2011). A clustering procedure for reducing the number of representative solutions in the pareto front of multiobjective optimization problems. European Journal of Operational Research, 210(3), 624\u2013634. https:\/\/doi.org\/10.1016\/j.ejor.2010.10.021","journal-title":"European Journal of Operational Research"}],"container-title":["Scientometrics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11192-024-05190-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11192-024-05190-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11192-024-05190-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,14]],"date-time":"2024-12-14T09:08:12Z","timestamp":1734167292000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11192-024-05190-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,25]]},"references-count":63,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["5190"],"URL":"https:\/\/doi.org\/10.1007\/s11192-024-05190-1","relation":{},"ISSN":["0138-9130","1588-2861"],"issn-type":[{"value":"0138-9130","type":"print"},{"value":"1588-2861","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,25]]},"assertion":[{"value":"30 January 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 October 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 November 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no Conflict of interest to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}}]}}