{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T10:03:59Z","timestamp":1776679439821,"version":"3.51.2"},"reference-count":47,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2019,2,5]],"date-time":"2019-02-05T00:00:00Z","timestamp":1549324800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>As companies operate in a competitive environment, where the struggle for survival on the market is rather tough, the top management face new challenges to identify methods, and even techniques, which allows it to select from the market those assets that provide an optimal ratio between the acquisition cost and the economic performance. In this context, a fuzzy logic managerial decision tool for the assets acquisition is proposed with the paper. The algorithm has three main components: the matrix of the membership degree of the existing bids to asset selection criteria, using fuzzy triangular numbers; the vector of the global membership degree of the bids to the selection criteria and the maximum of the global membership degree as an inference operator for establishing the validated bids by the algorithm. Two scenarios of asset acquisition were tested. After simulations, it was determined that the proposed fuzzy logic managerial decision tool combines, with very good results, the acquisition cost of the assets with their economic performance.<\/jats:p>","DOI":"10.3390\/sym11020186","type":"journal-article","created":{"date-parts":[[2019,2,6]],"date-time":"2019-02-06T03:03:05Z","timestamp":1549422185000},"page":"186","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["A Fuzzy Logic Algorithm for Optimizing the Investment Decisions within Companies"],"prefix":"10.3390","volume":"11","author":[{"given":"Marcel-Ioan","family":"Bolo\u0219","sequence":"first","affiliation":[{"name":"Department of Finance and Banks, University of Oradea, Oradea 410087, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ioana-Alexandra","family":"Bradea","sequence":"additional","affiliation":[{"name":"Department of Informatics and Cybernetics, Bucharest University of Economic Studies, Bucharest 010552, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3589-1969","authenticated-orcid":false,"given":"Camelia","family":"Delcea","sequence":"additional","affiliation":[{"name":"Department of Informatics and Cybernetics, Bucharest University of Economic Studies, Bucharest 010552, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,2,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.cor.2017.04.008","article-title":"A framework for secure IT operations in an uncertain and changing environment","volume":"85","author":"Schilling","year":"2017","journal-title":"Comput. Oper. Res."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.elerap.2017.02.002","article-title":"Adoption of big data and analytics in mobile healthcare market: An economic perspective","volume":"22","author":"Wu","year":"2017","journal-title":"Electron. Commer. Res. Appl."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1221","DOI":"10.1016\/j.proeng.2016.11.843","article-title":"Scenarios of Applying of Game Theory in Development Projects of Underground Construction","volume":"165","author":"Kurakova","year":"2016","journal-title":"Procedia Eng."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.ins.2003.11.004","article-title":"Measuring flexibility of computer integrated manufacturing systems using fuzzy cash flow analysis","volume":"168","author":"Kahraman","year":"2004","journal-title":"Inf. Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.insmatheco.2017.05.003","article-title":"Fuzzy logic modifications of the Analytic Hierarchy Process","volume":"75","author":"Shapiro","year":"2017","journal-title":"Insur. Math. Econ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1016\/j.physa.2017.04.082","article-title":"Quantified moving average strategy of crude oil futures market based on fuzzy logic rules and genetic algorithms","volume":"482","author":"Liu","year":"2017","journal-title":"Phys. A: Stat. Mech. Appl."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1197","DOI":"10.1111\/itor.12177","article-title":"Periodic review fuzzy inventory model with variable lead time and fuzzy demand: B. Sarkar and A. S. Mahapatra","volume":"24","author":"Sarkar","year":"2017","journal-title":"Int. Trans. Oper. Res."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"4375","DOI":"10.1007\/s00500-016-2069-2","article-title":"Possibilistic risk aversion in group decisions: theory with application in the insurance of giga-investments valued through the fuzzy pay-off method","volume":"21","author":"Collan","year":"2017","journal-title":"Soft Comput."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"706","DOI":"10.1016\/j.ejor.2016.12.044","article-title":"Project rankings for participatory budget based on the fuzzy TOPSIS method","volume":"260","author":"Walczak","year":"2017","journal-title":"Eur. J. Oper. Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1016\/j.asoc.2016.06.017","article-title":"Random fuzzy mean-absolute deviation models for portfolio optimization problem with hybrid uncertainty","volume":"56","author":"Qin","year":"2017","journal-title":"Appl. Soft Comput."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"686","DOI":"10.1002\/int.21872","article-title":"Multicriteria Decision Making with Cognitive Limitations: A DS\/AHP-Based Approach: MCDM WITH COGNITIVE LIMITATIONS","volume":"32","author":"Ma","year":"2017","journal-title":"Int. J. Intell. Syst."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"5387","DOI":"10.1016\/j.eswa.2008.06.103","article-title":"A hybrid model for stock market forecasting and portfolio selection based on ARX, grey system and RS theories","volume":"36","author":"Huang","year":"2009","journal-title":"Expert Syst. Appl."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.ins.2008.07.023","article-title":"Fuzzy portfolio selection using fuzzy analytic hierarchy process","volume":"179","author":"Tiryaki","year":"2009","journal-title":"Inf. Sci."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Le\u015bniak, A., Kubek, D., Plebankiewicz, E., Zima, K., and Belniak, S. (2018). Fuzzy AHP Application for Supporting Contractors\u2019 Bidding Decision. Symmetry, 10.","DOI":"10.3390\/sym10110642"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.procs.2014.05.265","article-title":"Interval-valued Intuitionistic Fuzzy TODIM","volume":"31","author":"Krohling","year":"2014","journal-title":"Procedia Comput. Sci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1080\/01969722.2017.1412890","article-title":"Improved Accuracy Function for Interval-Valued Intuitionistic Fuzzy Sets and Its Application to Multi\u2013Attributes Group Decision Making","volume":"49","author":"Joshi","year":"2018","journal-title":"Cyberne. Syst."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.ijpe.2006.08.005","article-title":"Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process","volume":"107","author":"Wang","year":"2007","journal-title":"Int. J. Prod. Econ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"3887","DOI":"10.1016\/j.eswa.2008.02.045","article-title":"Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company","volume":"36","author":"Kara","year":"2009","journal-title":"Expert Syst. Appl."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.ijpe.2004.09.014","article-title":"MCDM in a fuzzy setting: Investment projects assessment application","volume":"100","author":"Dimova","year":"2006","journal-title":"Int. J. Prod. Econ."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Wang, J., and Zhang, X. (2018). Two Types of Intuitionistic Fuzzy Covering Rough Sets and an Application to Multiple Criteria Group Decision Making. Symmetry, 10.","DOI":"10.3390\/sym10100462"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Luo, M., and Liang, J. (2018). A Novel Similarity Measure for Interval-Valued Intuitionistic Fuzzy Sets and Its Applications. Symmetry, 10.","DOI":"10.3390\/sym10100441"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/S0925-5273(00)00081-5","article-title":"Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments","volume":"69","author":"Tolga","year":"2001","journal-title":"Int. J. Prod. Econ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"5199","DOI":"10.1080\/00207540500219031","article-title":"A fuzzy ANP-based approach to R&D project selection: A case study","volume":"43","author":"Mohanty","year":"2005","journal-title":"Int. J. Prod. Econ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"6218","DOI":"10.1016\/j.eswa.2010.02.103","article-title":"Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods","volume":"37","author":"Amiri","year":"2010","journal-title":"Expert Syst. Appl."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1016\/j.eswa.2007.09.016","article-title":"An integrated decision making approach for ERP system selection","volume":"36","author":"Karsak","year":"2009","journal-title":"Expert Syst. Appl."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.knosys.2012.11.007","article-title":"Multi-criteria decision making method based on possibility degree of interval type-2 fuzzy number","volume":"43","author":"Hu","year":"2013","journal-title":"Knowl.-Based Syst."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1044","DOI":"10.1016\/j.ejor.2005.12.032","article-title":"A possibilistic decision model for new product supply chain design","volume":"177","author":"Wang","year":"2007","journal-title":"Eur. J. Oper. Res."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1007\/s40815-016-0190-0","article-title":"Hesitant Fuzzy Multi-Criteria Group Decision Making with Unknown Weight Information","volume":"19","author":"Zhang","year":"2017","journal-title":"Int. J. Fuzzy Syst."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1007\/s40815-016-0141-9","article-title":"Assessing Commercial Viability of Technology Start-up Businesses in a Government Venture Capital under Intuitionistic Fuzzy Environment","volume":"19","year":"2017","journal-title":"Int. J. Fuzzy Syst."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1007\/s40815-015-0058-8","article-title":"Fuzzy Inference-Enhanced VC-DRSA Model for Technical Analysis: Investment Decision Aid","volume":"17","author":"Shen","year":"2015","journal-title":"Int. J. Fuzzy Syst."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1080\/01969722.2017.1284532","article-title":"A Fuzzy Logic-Based Knowledge Management Performance Measurement System for SMEs","volume":"48","author":"Lee","year":"2017","journal-title":"Cybern. Syst."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1080\/01969729408902332","article-title":"FUZZY LOGIC MODELING OF SOCIAL BEHAVIOR","volume":"25","author":"Albertos","year":"1994","journal-title":"Cybern. Syst."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Ghani, U., Bajwa, I., and Ashfaq, A. (2018). A Fuzzy Logic Based Intelligent System for Measuring Customer Loyalty and Decision Making. Symmetry, 10.","DOI":"10.3390\/sym10120761"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Zhao, W.-J., and Liu, J.-C. (2018). Triangular Fuzzy Number-Typed Fuzzy Cooperative Games and Their Application to Rural E-Commerce Regional Cooperation and Profit Sharing. Symmetry, 10.","DOI":"10.3390\/sym10120699"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Wang, H., He, S., Pan, X., and Li, C. (2018). Shadowed Sets-Based Linguistic Term Modeling and Its Application in Multi-Attribute Decision-Making. Symmetry, 10.","DOI":"10.3390\/sym10120688"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Li, Z., Gao, H., and Wei, G. (2018). Methods for Multiple Attribute Group Decision Making Based on Intuitionistic Fuzzy Dombi Hamy Mean Operators. Symmetry, 10.","DOI":"10.3390\/sym10110574"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Fahmi, A., Amin, F., Smarandache, F., Khan, M., and Hassan, N. (2018). Triangular Cubic Hesitant Fuzzy Einstein Hybrid Weighted Averaging Operator and Its Application to Decision Making. Symmetry, 10.","DOI":"10.3390\/sym10110658"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Li, J., Zhang, F., Li, Q., Sun, J., Yee, J., Wang, S., and Xiao, S. (2018). Novel Parameterized Distance Measures on Hesitant Fuzzy Sets with Credibility Degree and Their Application in Decision-Making. Symmetry, 10.","DOI":"10.3390\/sym10110557"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Ke, D., Song, Y., and Quan, W. (2018). New Distance Measure for Atanassov\u2019s Intuitionistic Fuzzy Sets and Its Application in Decision Making. Symmetry, 10.","DOI":"10.3390\/sym10100429"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Ye, D., Liang, D., and Hu, P. (2018). Three-Way Decisions with Interval-Valued Intuitionistic Fuzzy Decision-Theoretic Rough Sets in Group Decision-Making. Symmetry, 10.","DOI":"10.3390\/sym10070281"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Xue, Z.-A., Han, D.-J., Lv, M.-J., and Zhang, M. (2018). Novel Three-Way Decisions Models with Multi-Granulation Rough Intuitionistic Fuzzy Sets. Symmetry, 10.","DOI":"10.3390\/sym10110662"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Dursun, M., and Arslan, \u00d6. (2018). An Integrated Decision Framework for Material Selection Procedure: A Case Study in a Detergent Manufacturer. Symmetry, 10.","DOI":"10.3390\/sym10110657"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Zhang, H., and Sun, Q. (2018). An Integrated Approach to Risk Assessment for Special Line Shunting via Fuzzy Theory. Symmetry, 10.","DOI":"10.3390\/sym10110599"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Hu, Q., and Zhang, X. (2018). New Similarity Measures of Single-Valued Neutrosophic Multisets Based on the Decomposition Theorem and Its Application in Medical Diagnosis. Symmetry, 10.","DOI":"10.3390\/sym10100466"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Luviano-Cruz, D., Garcia-Luna, F., P\u00e9rez-Dom\u00ednguez, L., and Gadi, S. (2018). Multi-Agent Reinforcement Learning Using Linear Fuzzy Model Applied to Cooperative Mobile Robots. Symmetry, 10.","DOI":"10.3390\/sym10100461"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Li, Z., Sun, D., and Zeng, S. (2018). Intuitionistic Fuzzy Multiple Attribute Decision-Making Model Based on Weighted Induced Distance Measure and Its Application to Investment Selection. Symmetry, 10.","DOI":"10.3390\/sym10070261"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Guan, H., He, J., Zhao, A., Dai, Z., and Guan, S. (2018). A Forecasting Model Based on Multi-Valued Neutrosophic Sets and Two-Factor, Third-Order Fuzzy Fluctuation Logical Relationships. 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