Abstract
Z-number expresses the membership degrees of an element to a set by several possibilities and their reliability. Therefore, it has a great advantage in dealing with fuzziness and uncertainty especially for multi-criteria group decision-making (MCGDM). In this paper, a novel approach, named HFLT-Z-h-ELECTRE II which incorporates Z-number into ELECTRE II is proposed to handle divergent views of group members and vague information. Specifically, hesitant fuzzy linguistic term set (HFLTS) helps experts to express evaluations about membership degrees. And a developed group consensus model enriched by reliance degree and cumulative prospect theory for further consideration is equipped for expert weights which replace the second part of Z-number in a brand-new perspective. Additionally, a corresponding average support degree function which is beneficial to comparing each pair of criteria is proposed. An application example about sustainable construction material suppliers selection is operated for experiment to show application and practicality of the proposal. Afterwards, further comparative analysis and sensitivity analysis are conducted to explore the impacts of parameters and discuss the merits of our proposal.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Availability of data and materials
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
References
Zou WC, Wan SP, Chen SM (2022) A fairness-concern-based LINMAP method for heterogeneous multi-criteria group decision making with hesitant fuzzy linguistic truth degrees. Inform Sci 612:1206–1225
Labella A, Dutta B, Martinez L (2021) An optimal Best-Worst prioritization method under a 2-tuple linguistic environment in decision making. Comput Ind Eng 155:107141
Liu S, He XJ, Chan FTS, Wang ZY (2022) An extended multi-criteria group decision-making method with psychological factors and bidirectional influence relation for emergency medical supplier selection. Expert Syst Appl 202:117414
Wu ZB, Ma N, Zeng ZQ, Xu JP (2019) Integer programming models to manage consensus for uncertain MCGDM based on PSO algorithms. IEEE Trans Fuzzy Syst 27:888–902
Herrera-Viedma E, Palomares I, Li CC, Cabrerizo FJ, Dong YC, Chiclana F, Herrera F (2021) Revisiting fuzzy and linguistic decision making:scenarios and challenges for making wiser decisions in a better way. IEEE Trans Syst Man Cybern Syst 51:191-208
Zhang SL, Li X, Meng FY (2022) A distance measure based intuitionistic triangular fuzzy multi-criteria group decision making method and its application. Appl Intell. https://doi.org/10.1007/s10489-022-04009-x
Wang XY, Wang H, Xu ZS, Ren ZL (2022) Green supplier selection based on probabilistic dual hesitant fuzzy sets: A process integrating best worst method and superiority and inferiority ranking. Appl Intell 52:8279–8301
Liu YY, Rodriguez RM, Qin JD, Martinez L (2022) Type-2 fuzzy envelope of extended hesitant fuzzy linguistic term set: Application to multi-criteria group decision making. Comput Ind Eng 169:108208
Zadeh LA (1965) Fuzzy Sets. Inf. Control 8:338–353
Chen L, Pan W (2021) Review fuzzy multi-criteria decision-making in construction management using a network approach. Appl Soft Comput 102:107103
Torra V (2010) Hesitant Fuzzy Sets. Int J Intell Syst 25:529–539
Zadeh LA (1975) The concept of a linguistic variable and its applications to approximate reasoning-Part I. Inform Sci 8:199–249
Zadeh LA (1975) The concept of a linguistic variable and its applications to approximate reasoning-Part II. Inform Sci 8:301–357
Xian SD, Guo HL (2019) Novel supplier grading approach based on interval probability hesitant fuzzy linguistic TOPSIS. Eng Appl Artif Intel 87:103299
Rodriguez RM, Martnez L, Herrera F (2012) Hesitant Fuzzy Linguistic Term Sets for Decision Making. IEEE Trans Fuzzy Syst 20:109–119
Zhou YY, Zheng CL, Zhou LG, Chen HY (2022) Selection of a solar water heater for large-scale group decision making with hesitant fuzzy linguistic preference relations based on the best-worst method. Appl Intell 52:4940–4960
Gundogdu FK (2022) Analyzing critical barriers of smart energy city in Turkey based ontwo-dimensional uncertainty by hesitant z-fuzzy linguistic terms. Eng Appl Artif Intel 113:104935
Zadeh LA (2011) A note on Z-numbers. Inform Sci 181:2923–2932
Kang BY, Deng Y, Sadiq R (2018) Total utility of Z-number. Appl Intell 48:703–729
Tao ZH, Liu X, Chen HY, Liu JP, Guan F (2019) Linguistic Z-number fuzzy soft sets and its application on multiple attribute group decision making problems. Int J Intell Syst 35:105-124
Jiang W, Cao Y, Deng XY (2020) A Novel Z-Network Model Based on Bayesian Network and Z-Number. IEEE Trans Fuzzy Syst 28:1585–1599
Xian SD, Liu RP, Yang ZJ, Li X (2022) Intuitionistic principal value Z linguistic hybrid geometric operator and their applications for multi-attribute group decision-making. Artif Intell Rev 55:3863–3896
Ji Y, Li HH, Zhang HJ (2022) Risk-averse two-stage stochastic minimum cost consensus models with asymmetric adjustment cost. Group Decis Negot 31:261–291
Yang YL, Gai TT, Cao MS, Zhang Z, Zhang HJ, Wu J (2023) Application of group decision making in shipping industry 4.0: bibliometric analysis, trends, and future directions. Syst 11:69
Li ZL, Zhang Z, Yu WY (2023) Consensus reaching for ordinal classification-based group decision making with heterogeneous preference information. J Oper Res Soc. https://doi.org/10.1080/01605682.2023.2186806
Li ZL, Zhang Z, Yu WY (2022) Consensus reaching with consistency control in group decision making with incomplete hesitant fuzzy linguistic preference relations. Comput Ind Eng 170:108311
Li CC, Dong YC, Liang HM, Pedrycz W, Herrera F (2022) Data-driven method to learning personalized individual semantics to support linguistic multi-attribute decision making. Omega Int J Manage S 111:102642
Dong QX, Sheng Q, Martinez L, Zhang Z (2022) An adaptive group decision making framework: Individual and local world opinion based opinion dynamics. Inf Fusion 78:218–231
Wu J, Wang S, Chiclana F, Herrera-Viedma E (2022) Twofold personalized feedback mechanism for social network consensus by uninorm interval trust propagation. IEEE Trans Cybern 52:11081–11092
Xing YM, Wu J, Chiclana F, Yu GF, Cao MS, Herrera-Viedma E (2023) A bargaining game based feedback mechanism to support consensus in dynamic social network group decision making. Inf Fusion 93:363–382
Wei JP, Qu SJ, Wang QH, Luan DQ, Zhao XH (2022) The Novel Data-Driven Robust maximum expert mixed integer consensus models under multirole’s opinions uncertainty by considering noncooperators. IEEE Trans Comput Soc Syst. https://doi.org/10.1109/TCSS.2022.3192897
Qu SJ, Shu LL, Yan JY (2022) Optimal pricing and service level in supply chain considering misreport behavior and fairness concern. Comput Ind Eng 174:108759
Qu SJ, Xu L, Mangla SK, Chan FTS, Zhu JL, Arisian S (2022) Matchmaking in reward-based crowdfunding platforms: a hybrid machine learning approach. Int J Prod Res 60:7551–7571
Pinyol I, Sabater-Mir J (2013) Computational trust and reputation models for open multi-agent systems: a review. Artif Intell Rev 40:1–25
Xu X, Zhang Q, Chen X (2020) Consensus-based non-cooperative behaviors management in large-group emergency decision-making considering experts’ trust relations and preference risks. Knowl Based Syst 190:105108
Tian ZP, Nie RX, Wang JQ (2019) Social network analysis-based consensus-supporting framework for large-scale group decision-making with incomplete interval type-2 fuzzy information. Inform Sci 502:446–471
Kahneman D, Tversky A (1979) Prospect theory: An analysis of decision under risk. Econometrica 47:263–292
Kahneman D, Tversky A (1992) Advances in prospect theory: cumulative representation of uncertainty. J Risk Uncertain 5:297–323
Wang XT, Triantaphyllou E (2008) Ranking irregularities when evaluating alternatives by using some ELECTRE methods. Omega Int J Manage S 36:45–63
Deveci M, Demirel N, John R, Öecan E (2015) Fuzzy multi-criteria decision making for carbon dioxide geological storage in Turkey. J Nat Gas Sci Eng 27:692–705
Mir MSS, Afzalirad M, Ghorbanzadeh M (2021) A robust fuzzy hybrid MCDM ranking method for optimal selection of lithium extraction process from brine and seawater. Miner Eng 169:106957
Zahid K, Akram M, Kahraman C (2022) A new ELECTRE-based method for group decision-making with complex spherical fuzzy information. Knowl Based Syst 243:108525
Akram M, Luqman A, Kahraman C (2021) Hesitant Pythagorean fuzzy ELECTRE-II method for multi-criteria decision-making problems. Appl Soft Comput 108:107479
Liu H, Ma Y, Jiang L (2019) Managing incomplete preferences and consistency improvement in hesitant fuzzy linguistic preference relations with applications in group decision making. Inform Fusion 51:19–29
Rong LL, Wang L, Liu PD (2021) Supermarket fresh food suppliers evaluation and selection with multigranularity unbalanced hesitant fuzzy linguistic information based on prospect theory and evidential theory. Int J Intell Syst 37:1931–1971
Wang TX, Li HX, Zhou XZ, Liu D, Huang B (2021) Three-way decision based on third-generation prospect theory with Z-numbers. Inform Sci 569:13–38
Akram M, Adeel A, Al-Kenani AN, Alcantud JCR (2021) Hesitant fuzzy N-soft ELECTRE-II model: A new framework for decision-making. Neural Comput Appl 33:7505–7520
Liu ZM, Bi YW, Wang XY, Sha LB, Liu PD (2022) A generalized TODIM-ELECTRE II method based on linguistic Z-numbers and Dempster-Shafer evidence theory with unknown weight information. Comput Ind Eng 8:949–971
Liu ZM, Wang WX, Wang D, Liu PD (2022) A modified ELECTRE II method with double attitude parameters based on linguistic Z-number and its application for third-party reverse logistics provider selection. Appl Intell 52:14964–14987
Ren Z, Liao H, Liu Y (2020) Generalized Z-numbers with hesitant fuzzy linguistic information and its application to medicine selection for the patients with mild symptoms of the COVID-19. Comput Ind Eng 145:106517
Karaşan A, Kaya İ, Erdoǧan M, Çolak M (2021) A multicriteria decision making methodology based on two-dimensional uncertainty by hesitant Z-fuzzy linguistic terms with an application for blockchain risk evaluation. Appl Soft Comput 113:108014
Li Z, Zhang Q, Liao H (2019) Efficient-equitable-ecological evaluation of regional water resource coordination considering both visible and virtual water. Omega Int J Manage S 83:223–235
Tu Y, Wang HY, Zhou XY, Shen WJ, Lev B (2021) Comprehensive evaluation of security, equity, and efficiency on regional water resources coordination using a hybrid multi-criteria decision-making method with different hesitant fuzzy linguistic term sets. J Clean Prod 310:127447
Chen N, Xu ZS (2015) Hesitant fuzzy ELECTRE II approach: A new way to handle multi-criteria decision making problems. Inform Sci 292:175–197
Liu Y, Eckert CM, Earl C (2020) A review of fuzzy AHP methods for decision-making with subjective judgements. Expert Syst Appl 161:113738
Jiskani IM, Yasli F, Hosseini S, Rehman AU, Uddin S (2022) Improved Z-number based fuzzy fault tree approach to analyze health and safety risks in surface mines. Resour Policy 76:102591
Duckstein L, Gershon M (1983) Multicriterion analysis of a vegetation management problem using ELECTRE II. Appl Math Model 7:254–261
Hokkanen J, Salminen P, Rossi E, Ettala M (1995) The choice of a solid waste management system using the ELECTRE II decision-aid method. Waste Manag Res 13:175–193
Stević Ž, Pamučar D, Puška A, Chatterjee P (2020) Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to compromise solution (MARCOS). Comput Ind Eng 140:106231
Bai CG, Sarkis J (2010) Sustainable supplier development: analytical evaluation using rough set theory. J Clean Prod 18:1200–1210
Wen TC, Chang KH, Lai HH (2019) Integrating the 2-tuple linguistic representation and soft set to solve supplier selection problems with incomplete information. Eng Appl Artif Intell 87:103248
Gao HX, Ju YB, Gonzalez EDRS, Zhang WK (2020) Sustainable supplier selection in electronics manufacturing: an approach based on consensus decision making. J Clean Prod 245:118781
Lu ZM, Sun XK, Wang YX, Xu CB (2019) Sustainable supplier selection in straw biomass industry based on cloud model and possibility degree. J Clean Prod 209:995–1005
Yu CX, Shao YF, Wang K, Zhang LP (2019) A group decision making sustainable supplier selection approach using extended TOPSIS under interval-valued Pythagorean fuzzy environment. Expert Syst Appl 121:1–17
Kannan D, Mina H, Nosrati-Abarghooee S, Khosrojerdi G (2020) Sustainable circular supplier selection: A novel hybrid approach. Sci Total Environ 722:137936
Gülçin B, Gizem Ç (2012) A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate sustainable suppliers. Expert Syst Appl 39:3000–3011
Yeh WC, Chuang MC (2011) Using multi-objective genetic algorithm for partner selection in sustainable supply chain problems. Expert Syst Appl 38:4244–4253
Jia R, Liu Y, Bai X (2020) Sustainable supplier selection and order allocation: Distributionally robust goal programming model and tractable approximation. Comput Ind Eng 140:106267
Lee AHI, Kang HY, Hsu CF, Hung HC (2009) A sustainable supplier selection model for hightech industry. Expert Syst Appl 36:7917–7927
Rao P, Holt D (2005) Do sustainable supply chains lead to competitiveness and economic performance? Int J Oper Prod Man 25:898–916
Zhu QH, Sarkis J (2007) The moderating effects of institutional pressures on emergent sustainable supply chain practices and performance. Int J Prod Res 45:4333–4355
Darko A, Chan APC (2017) Review of barriers to green building adoption. Sustain Dev 25(3):167–179
Wang L, Zhang P, Ma L, Gong XH, Skibniewski MJ (2020) Developing a corporate social responsibility framework for sustainable construction using pratial least squares structural equation modeling. Technol Econ Dev Econ 26:186–212
Liu ZM, Wang WX, Di W, Liu PD (2022) A modified ELECTRE II method with double attitude parameters based on linguistic Z-number and its application for third-party reverse logistics provider selection. Appl Intell 52:14964–14987
Acknowledgements
This research was supported by the National Natural Science Foundation of China (grant number 71801177), the Humanities and Social Sciences Fund of Ministry of Education of China (grant number 18YJC630163).
Author information
Authors and Affiliations
Contributions
Yan Tu: Conceptualization, Supervision. Renpeng Zhou: Data curation, Formal analysis, Methodology, Writing - original draft. Xiaoyang Zhou: Methodology, Writing - review & editing. Benjamin Lev: Writing - review & editing.
Corresponding author
Ethics declarations
Conflicts of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Tu, Y., Zhou, R., Zhou, X. et al. Incorporating a new perspective of Z-number into ELECTRE II with group consensus involving reliance degree and prospect theory. Appl Intell 53, 23316–23335 (2023). https://doi.org/10.1007/s10489-023-04757-4
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10489-023-04757-4