{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T16:13:20Z","timestamp":1769616800297,"version":"3.49.0"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,9,9]],"date-time":"2023-09-09T00:00:00Z","timestamp":1694217600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,9,9]],"date-time":"2023-09-09T00:00:00Z","timestamp":1694217600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Complex Intell. Syst."],"published-print":{"date-parts":[[2024,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In multi-attribute group decision-making (MAGDM), the attributes can be placed into independent groups based on their properties through partitioning. First, the partitioned dual Hamy mean (PDHM) operator is introduced, along with its essential properties. This operator integrates these separate groups while preserving the relationships between the attributes within each group. Furthermore, the partitioned Hamy mean (PHM) and the PDHM operators are also constructed in the generalized orthopair fuzzy environment, namely the q-rung orthopair fuzzy PHM (q-ROFPHM), the q-rung orthopair fuzzy PDHM (q-ROFPDHM), and their weighted forms. Their essential properties are verified to ensure the validity of the proposed aggregation operators (AOs). Subsequently, a new MAGDM approach is developed, employing the proposed AOs. The MAGDM problem of selecting the best person is examined. Moreover, the research includes a sensitivity analysis in three directions and a comparative analysis of the proposed MAGDM approach with five different approaches. The findings indicate that applying attribute partitioning in the proposed approach mitigates the adverse impact of irrelevant attributes, leading to more feasible and reliable outcomes. Additionally, a practical case study focuses on selecting a suitable industry for investment among the five available options. This case study demonstrates the approach\u2019s effectiveness by considering five distinct qualities and results that make the Internet industry the best place to invest. Furthermore, a comparative analysis with four similar papers is also performed, indicating that the developed method\u2019s results are more reliable and consistent.<\/jats:p>","DOI":"10.1007\/s40747-023-01201-5","type":"journal-article","created":{"date-parts":[[2023,9,9]],"date-time":"2023-09-09T06:01:45Z","timestamp":1694239305000},"page":"1375-1408","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["A novel group decision-making approach based on partitioned Hamy mean operators in q-rung orthopair fuzzy context"],"prefix":"10.1007","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0483-0266","authenticated-orcid":false,"given":"Sukhwinder Singh","family":"Rawat","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9000-2178","authenticated-orcid":false,"family":"Komal","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5048-8145","authenticated-orcid":false,"given":"Peide","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4452-5768","authenticated-orcid":false,"given":"Zeljko","family":"Stevic","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0399-7486","authenticated-orcid":false,"given":"Tapan","family":"Senapati","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4587-7482","authenticated-orcid":false,"given":"Sarbast","family":"Moslem","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,9]]},"reference":[{"key":"1201_CR1","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1007\/s40314-023-02254-5","volume":"42","author":"M Akram","year":"2023","unstructured":"Akram M, Naz S, Edalatpanah SA, Samreen S (2023) A hybrid decision-making framework under 2-tuple linguistic complex q-rung orthopair fuzzy Hamy mean aggregation operators. Comput Appl Math 42:118","journal-title":"Comput Appl Math"},{"key":"1201_CR2","doi-asserted-by":"crossref","first-page":"2816","DOI":"10.3390\/en16062816","volume":"16","author":"M Akram","year":"2023","unstructured":"Akram M, Ullah K, \u0106irovi\u0107 G, Pamucar D (2023) Algorithm for energy resource selection using priority degree-based aggregation operators with generalized orthopair fuzzy information and Aczel\u2013Alsina aggregation operators. Energies 16:2816","journal-title":"Energies"},{"key":"1201_CR3","doi-asserted-by":"crossref","first-page":"6185","DOI":"10.1007\/s00521-022-07998-5","volume":"35","author":"A Alamoodi","year":"2023","unstructured":"Alamoodi A, Albahri O, Zaidan A, Alsattar H, Zaidan B, Albahri A (2023) Hospital selection framework for remote mcd patients based on fuzzy q-rung orthopair environment. Neural Comput Appl 35:6185\u20136196","journal-title":"Neural Comput Appl"},{"key":"1201_CR4","doi-asserted-by":"crossref","first-page":"592","DOI":"10.3390\/sym14030592","volume":"14","author":"Z Ali","year":"2022","unstructured":"Ali Z, Mahmood T, Pamucar D, Wei C (2022) Complex interval-valued q-rung orthopair fuzzy Hamy mean operators and their application in decision-making strategy. Symmetry 14:592","journal-title":"Symmetry"},{"key":"1201_CR5","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2021.107653","volume":"110","author":"N Alkan","year":"2021","unstructured":"Alkan N, Kahraman C (2021) Evaluation of government strategies against covid-19 pandemic using q-rung orthopair fuzzy topsis method. Appl Soft Comput 110:107653","journal-title":"Appl Soft Comput"},{"key":"1201_CR6","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/S0165-0114(86)80034-3","volume":"20","author":"KT Atanassov","year":"1986","unstructured":"Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20:87\u201396","journal-title":"Fuzzy Sets Syst"},{"key":"1201_CR7","doi-asserted-by":"crossref","first-page":"383","DOI":"10.3390\/sym10090383","volume":"10","author":"K Bai","year":"2018","unstructured":"Bai K, Zhu X, Wang J, Zhang R (2018) Some partitioned Maclaurin symmetric mean based on q-rung orthopair fuzzy information for dealing with multi-attribute group decision making. Symmetry 10:383","journal-title":"Symmetry"},{"key":"1201_CR8","volume-title":"Aggregation functions: a guide for practitioners","author":"G Beliakov","year":"2007","unstructured":"Beliakov G, Pradera A, Calvo T (2007) Aggregation functions: a guide for practitioners, vol 221. Springer, Berlin"},{"key":"1201_CR9","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1109\/TFUZZ.2015.2451692","volume":"24","author":"H Bustince","year":"2016","unstructured":"Bustince H, Barrenechea E, Pagola M, Fernandez J, Xu Z, Bedregal B, Montero J, Hagras H, Herrera F, Baets BD (2016) A historical account of types of fuzzy sets and their relationships. IEEE Trans Fuzzy Syst 24:179\u2013194","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1201_CR10","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.ins.2022.11.017","volume":"619","author":"J Dai","year":"2023","unstructured":"Dai J, Chen T, Zhang K (2023) The intuitionistic fuzzy concept-oriented three-way decision model. Inf Sci 619:52\u201383","journal-title":"Inf Sci"},{"key":"1201_CR11","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.117155","volume":"200","author":"M Deveci","year":"2022","unstructured":"Deveci M, Gokasar I, Brito-Parada PR (2022) A comprehensive model for socially responsible rehabilitation of mining sites using q-rung orthopair fuzzy sets and combinative distance-based assessment. Expert Syst Appl 200:117155","journal-title":"Expert Syst Appl"},{"key":"1201_CR12","doi-asserted-by":"crossref","unstructured":"Deveci M, Pamucar D, Gokasar I, Koppen M, Gupta BB (2022) Personal mobility in metaverse with autonomous vehicles using q-rung orthopair fuzzy sets based OPA-RAFSI model. IEEE Transactions on Intelligent Transportation Systems, pp 1\u201310","DOI":"10.1109\/TITS.2022.3186294"},{"key":"1201_CR13","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.asoc.2015.08.017","volume":"37","author":"B Dutta","year":"2015","unstructured":"Dutta B, Guha D (2015) Partitioned Bonferroni mean based on linguistic 2-tuple for dealing with multi-attribute group decision making. Appl Soft Comput 37:166\u2013179","journal-title":"Appl Soft Comput"},{"key":"1201_CR14","volume":"122","author":"HMA Farid","year":"2023","unstructured":"Farid HMA, Riaz M (2023) q-rung orthopair fuzzy Aczel\u2013Alsina aggregation operators with multi-criteria decision-making. Eng Appl Artif Intell 122:106105","journal-title":"Eng Appl Artif Intell"},{"key":"1201_CR15","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1016\/j.ins.2019.11.035","volume":"517","author":"H Garg","year":"2020","unstructured":"Garg H, Chen S-M (2020) Multiattribute group decision making based on neutrality aggregation operators of q-rung orthopair fuzzy sets. Inf Sci 517:427\u2013447","journal-title":"Inf Sci"},{"key":"1201_CR16","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.119846","volume":"222","author":"B G\u00fcneri","year":"2023","unstructured":"G\u00fcneri B, Deveci M (2023) Evaluation of supplier selection in the defense industry using q-rung orthopair fuzzy set based EDAS approach. Expert Syst Appl 222:119846","journal-title":"Expert Syst Appl"},{"key":"1201_CR17","first-page":"103","volume":"14","author":"M Hamy","year":"1890","unstructured":"Hamy M (1890) Sur le th\u00e9or\u00e8me de la moyenne. Bull Sci Math 14:103\u2013104","journal-title":"Bull Sci Math"},{"key":"1201_CR18","doi-asserted-by":"crossref","DOI":"10.1155\/S1025583498000253","volume":"1998","author":"T Hara","year":"1998","unstructured":"Hara T, Uchiyama M, Takahasi S-E (1998) A refinement of various mean inequalities. J Inequal Appl 1998:932025","journal-title":"J Inequal Appl"},{"key":"1201_CR19","doi-asserted-by":"crossref","DOI":"10.1016\/j.jclepro.2020.123329","volume":"279","author":"R Krishankumar","year":"2021","unstructured":"Krishankumar R, Nimmagadda SS, Rani P, Mishra AR, Ravichandran K, Gandomi AH (2021) Solving renewable energy source selection problems using a q-rung orthopair fuzzy-based integrated decision-making approach. J Clean Prod 279:123329","journal-title":"J Clean Prod"},{"key":"1201_CR20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ins.2022.03.032","volume":"598","author":"K Kumar","year":"2022","unstructured":"Kumar K, Chen S-M (2022) Group decision making based on q-rung orthopair fuzzy weighted averaging aggregation operator of q-rung orthopair fuzzy numbers. Inf Sci 598:1\u201318","journal-title":"Inf Sci"},{"issue":"12","key":"1201_CR21","doi-asserted-by":"crossref","first-page":"3275","DOI":"10.1002\/int.22194","volume":"34","author":"D Liang","year":"2019","unstructured":"Liang D, Zhang Y, Cao W (2019) q-rung orthopair fuzzy Choquet integral aggregation and its application in heterogeneous multicriteria two-sided matching decision making. Int J Intell Syst 34(12):3275\u20133301","journal-title":"Int J Intell Syst"},{"key":"1201_CR22","doi-asserted-by":"crossref","first-page":"2514","DOI":"10.1109\/TCYB.2016.2634599","volume":"47","author":"P Liu","year":"2017","unstructured":"Liu P, Chen S-M (2017) Group decision making based on Heronian aggregation operators of intuitionistic fuzzy numbers. IEEE Trans Cybern 47:2514\u20132530","journal-title":"IEEE Trans Cybern"},{"key":"1201_CR23","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.ins.2017.05.016","volume":"411","author":"P Liu","year":"2017","unstructured":"Liu P, Chen S-M, Liu J (2017) Multiple attribute group decision making based on intuitionistic fuzzy interaction partitioned Bonferroni mean operators. Inf Sci 411:98\u2013121","journal-title":"Inf Sci"},{"key":"1201_CR24","doi-asserted-by":"crossref","first-page":"830","DOI":"10.1016\/j.ins.2019.10.013","volume":"512","author":"P Liu","year":"2020","unstructured":"Liu P, Chen S-M, Wang Y (2020) Multiattribute group decision making based on intuitionistic fuzzy partitioned Maclaurin symmetric mean operators. Inf Sci 512:830\u2013854","journal-title":"Inf Sci"},{"issue":"2","key":"1201_CR25","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1002\/int.21933","volume":"33","author":"P Liu","year":"2018","unstructured":"Liu P, Liu J (2018) Some q-rung orthopair fuzzy Bonferroni mean operators and their application to multi-attribute group decision making. Int J Intell Syst 33(2):315\u2013347","journal-title":"Int J Intell Syst"},{"key":"1201_CR26","doi-asserted-by":"crossref","first-page":"127728","DOI":"10.1109\/ACCESS.2019.2937854","volume":"7","author":"P Liu","year":"2019","unstructured":"Liu P, Liu X (2019) Linguistic intuitionistic fuzzy Hamy mean operators and their application to multiple-attribute group decision making. IEEE Access 7:127728\u2013127744","journal-title":"IEEE Access"},{"key":"1201_CR27","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1002\/int.21927","volume":"33","author":"P Liu","year":"2018","unstructured":"Liu P, Wang P (2018) Some q-rung orthopair fuzzy aggregation operators and their applications to multiple-attribute decision making. Int J Intell Syst 33:259\u2013280","journal-title":"Int J Intell Syst"},{"key":"1201_CR28","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.ins.2020.01.013","volume":"518","author":"P Liu","year":"2020","unstructured":"Liu P, Wang Y (2020) Multiple attribute decision making based on q-rung orthopair fuzzy generalized Maclaurin symmetric mean operators. Inf Sci 518:181\u2013210","journal-title":"Inf Sci"},{"key":"1201_CR29","volume":"140","author":"P Liu","year":"2020","unstructured":"Liu P, Xu H, Geng Y (2020) Normal wiggly hesitant fuzzy linguistic power Hamy mean aggregation operators and their application to multi-attribute decision-making. Comput Ind Eng 140:106224","journal-title":"Comput Ind Eng"},{"key":"1201_CR30","doi-asserted-by":"crossref","first-page":"1993","DOI":"10.1007\/s40815-019-00736-5","volume":"22","author":"Z Liu","year":"2020","unstructured":"Liu Z, Xu H, Liu P, Li L, Zhao X (2020) Interval-valued intuitionistic uncertain linguistic multi-attribute decision-making method for plant location selection with partitioned hamy mean. Int J Fuzzy Syst 22:1993\u20132010","journal-title":"Int J Fuzzy Syst"},{"key":"1201_CR31","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1142\/S021962201830001X","volume":"17","author":"A Mardani","year":"2018","unstructured":"Mardani A, Nilashi M, Zavadskas EK, Awang SR, Zare H, Jamal NM (2018) Decision making methods based on fuzzy aggregation operators: three decades review from 1986 to 2017. Int J Inf Technol Decis Making 17:391\u2013466","journal-title":"Int J Inf Technol Decis Making"},{"key":"1201_CR32","doi-asserted-by":"crossref","unstructured":"Mardani A, Saberi S (2023) Industry 4.0 adoption drivers for sustainable supply chain in the manufacturing sector using a hybrid decision-making approach under q-rung orthopair fuzzy information. IEEE Transactions on Engineering Management, pp 1\u201318","DOI":"10.1109\/TEM.2023.3262961"},{"key":"1201_CR33","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s41066-017-0041-x","volume":"2","author":"J Qin","year":"2017","unstructured":"Qin J (2017) Interval type-2 fuzzy Hamy mean operators and their application in multiple criteria decision making. Granul Comput 2:249\u2013269","journal-title":"Granul Comput"},{"key":"1201_CR34","first-page":"0221759","volume":"14","author":"Y Qin","year":"2019","unstructured":"Qin Y, Qi Q, Scott PJ, Jiang X (2019) Multi-criteria group decision making based on Archimedean power partitioned Muirhead mean operators of q-rung orthopair fuzzy numbers. PLoS One 14:0221759","journal-title":"PLoS One"},{"key":"1201_CR35","doi-asserted-by":"crossref","first-page":"1567","DOI":"10.1007\/s40815-018-0452-0","volume":"20","author":"K Rahman","year":"2018","unstructured":"Rahman K, Abdullah S, Jamil M, Khan MY (2018) Some generalized intuitionistic fuzzy Einstein hybrid aggregation operators and their application to multiple attribute group decision making. Int J Fuzzy Syst 20:1567\u20131575","journal-title":"Int J Fuzzy Syst"},{"key":"1201_CR36","doi-asserted-by":"crossref","unstructured":"Rawat SS, Komal (2022) Multiple attribute decision making based on q-rung orthopair fuzzy Hamacher Muirhead mean operators. Soft Comput 26:2465\u20132487","DOI":"10.1007\/s00500-021-06549-9"},{"key":"1201_CR37","first-page":"211","volume":"50","author":"L Rong","year":"2016","unstructured":"Rong L, Liu P, Chu Y (2016) Multiple attribute group decision making methods based on intuitionistic fuzzy generalized Hamacher aggregation operator. Econ Comput Econ Cybern Stud Res 50:211\u2013230","journal-title":"Econ Comput Econ Cybern Stud Res"},{"key":"1201_CR38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2020\/3262618","volume":"2020","author":"Y Rong","year":"2020","unstructured":"Rong Y, Pei Z, Liu Y (2020) Hesitant fuzzy linguistic Hamy mean aggregation operators and their application to linguistic multiple attribute decision-making. Math Probl Eng 2020:1\u201322","journal-title":"Math Probl Eng"},{"key":"1201_CR39","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.118832","volume":"212","author":"T Senapati","year":"2023","unstructured":"Senapati T, Chen G, Mesiar R, Yager RR (2023) Intuitionistic fuzzy geometric aggregation operators in the framework of Aczel\u2013Alsina triangular norms and their application to multiple attribute decision making. Expert Syst Appl 212:118832","journal-title":"Expert Syst Appl"},{"key":"1201_CR40","doi-asserted-by":"crossref","first-page":"980","DOI":"10.1007\/s40815-022-01417-6","volume":"25","author":"T Senapati","year":"2023","unstructured":"Senapati T, Mart\u00ednez L, Chen G (2023) Selection of appropriate global partner for companies using q-rung orthopair fuzzy Aczel\u2013Alsina average aggregation operators. Int J Fuzzy Syst 25:980\u2013996","journal-title":"Int J Fuzzy Syst"},{"key":"1201_CR41","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.117034","volume":"200","author":"G Tang","year":"2022","unstructured":"Tang G, Yang Y, Gu X, Chiclana F, Liu P, Wang F (2022) A new integrated multi-attribute decision-making approach for mobile medical app evaluation under q-rung orthopair fuzzy environment. Expert Syst Appl 200:117034","journal-title":"Expert Syst Appl"},{"key":"1201_CR42","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-3157-6","volume-title":"Multi-criteria decision making methods: a comparative study","author":"E Triantaphyllou","year":"2000","unstructured":"Triantaphyllou E (2000) Multi-criteria decision making methods: a comparative study, vol 44. Springer, New York"},{"key":"1201_CR43","doi-asserted-by":"crossref","first-page":"2429","DOI":"10.1002\/int.22155","volume":"34","author":"J Wang","year":"2019","unstructured":"Wang J, Wei G, Lu J, Alsaadi FE, Hayat T, Wei C, Zhang Y (2019) Some q-rung orthopair fuzzy Hamy mean operators in multiple attribute decision-making and their application to enterprise resource planning systems selection. Int J Intell Syst 34:2429\u20132458","journal-title":"Int J Intell Syst"},{"key":"1201_CR44","volume":"109","author":"D Xie","year":"2022","unstructured":"Xie D, Xiao F, Pedrycz W (2022) Information quality for intuitionistic fuzzy values with its application in decision making. Eng Appl Artif Intell 109:104568","journal-title":"Eng Appl Artif Intell"},{"key":"1201_CR45","doi-asserted-by":"crossref","unstructured":"Xing Y, Zhang R, Wang J, Bai K, Xue J (2020) A new multi-criteria group decision-making approach based on q-rung orthopair fuzzy interaction Hamy mean operators. Neural Comput Appl 32:7465\u20137488","DOI":"10.1007\/s00521-019-04269-8"},{"key":"1201_CR46","doi-asserted-by":"crossref","unstructured":"Yager RR (2013) Pythagorean fuzzy subsets. IEEE, pp 57\u201361","DOI":"10.1109\/IFSA-NAFIPS.2013.6608375"},{"key":"1201_CR47","doi-asserted-by":"crossref","unstructured":"Yager RR (2017) Generalized orthopair fuzzy sets. IEEE Trans Fuzzy Syst 25:1222\u20131230","DOI":"10.1109\/TFUZZ.2016.2604005"},{"key":"1201_CR48","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1002\/int.22060","volume":"34","author":"W Yang","year":"2019","unstructured":"Yang W, Pang Y (2019) New q-rung orthopair fuzzy partitioned Bonferroni mean operators and their application in multiple attribute decision making. Int J Intell Syst 34:439\u2013476","journal-title":"Int J Intell Syst"},{"key":"1201_CR49","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"L Zadeh","year":"1965","unstructured":"Zadeh L (1965) Fuzzy sets. Inf Control 8:338\u2013353","journal-title":"Inf Control"},{"key":"1201_CR50","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.ijar.2021.08.004","volume":"138","author":"C Zhang","year":"2021","unstructured":"Zhang C, Ding J, Li D, Zhan J (2021) A novel multi-granularity three-way decision making approach in q-rung orthopair fuzzy information systems. Int J Approx Reason 138:161\u2013187","journal-title":"Int J Approx Reason"},{"key":"1201_CR51","doi-asserted-by":"crossref","unstructured":"Zhong Y, Gao H, Guo X, Qin Y, Huang M, Luo X (2019) Dombi power partitioned Heronian mean operators of q-rung orthopair fuzzy numbers for multiple attribute group decision making. PLoS One 14:e0222007","DOI":"10.1371\/journal.pone.0222007"},{"key":"1201_CR52","doi-asserted-by":"crossref","unstructured":"Zolfani SH, Krishankumar R, Pamucar D, G\u00f6r\u00e7\u00fcn \u00d6mer Faruk (2022) The potentials of the southern and Eastern European countries in the process of the regionalization of the global supply chains using a q-rung orthopair fuzzy-based integrated decision-making approach. Comput Ind Eng 171:108405","DOI":"10.1016\/j.cie.2022.108405"}],"container-title":["Complex &amp; Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40747-023-01201-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40747-023-01201-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40747-023-01201-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,10]],"date-time":"2024-02-10T22:34:55Z","timestamp":1707604495000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40747-023-01201-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,9]]},"references-count":52,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,2]]}},"alternative-id":["1201"],"URL":"https:\/\/doi.org\/10.1007\/s40747-023-01201-5","relation":{},"ISSN":["2199-4536","2198-6053"],"issn-type":[{"value":"2199-4536","type":"print"},{"value":"2198-6053","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,9]]},"assertion":[{"value":"5 April 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 August 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 September 2023","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 conflicts of interest to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}