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Regret theory based three-way conflict analysis model under q-rung orthopair fuzzy information: studies with parameter and three-way decision-making-based approaches

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Abstract

In any conflict analysis model, agents are decision-makers (DMs). In reality, the regret psychology of DMs often influence decision outcomes due to uncertain risks. However, the existing conflict analysis model avoids DMs’ regret psychology. The q-rung orthopair fuzzy information (q-ROFIS) with regret theory (RT)-based conflict analysis in detail is a primary aim of this study to solve more complex and uncertain-conflict problems than possible within the confinement of current knowledge. First, we define RT-based q-rung orthopair fuzzy conflict distance (q-ROFCD) in a pair and show that our q-ROFCD holds symmetry and triangular inequality. Using q-ROFCD, we have studied pre-defined parameters and three-way decision (3WD) theory-based conflict analysis. In pre-defined parameters-based conflict analysis, we trisect the agents according to single and multiple issues, define q-rung orthopair fuzzy conflict of each issue and issue set, trisect issues, provide a feasible strategy for a conflict situation, define the conflict degree of each agent and agent set, and finally find out the intrinsic reasons for the conflict are. In 3WD theory based-conflict analysis, we trisect the agents according to single and multiple issues using Bayesian minimum cost theory, define conflict region, rank the issues, introduce three-way coalitions of agents and finally define maximal coalition of agents. At last, the stability and validity of the proposed model are verified via an application, sensitive analysis and comparative analysis with similar studies.

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References

  • Akram M, Shahzadi G, Shahzadi S (2021) Protraction of Einstein operators for decision-making under q-rung orthopair fuzzy model. J Intell Fuzzy Syst 40:4779–4798

    Google Scholar 

  • Ali J (2022) A q-rung orthopair fuzzy MARCOS method using novel score function and its application to solid waste management. Appl Intell 52:8770–8792

    Google Scholar 

  • Banerjee D, Dutta B, Guha D, Martínez L (2020) SMAA-QUALIFLEX methodology to handle multicriteria decision-making problems based on q-rung fuzzy set with hierarchical structure of criteria using bipolar choquet integral. Intern J Intell Syst 35(3):401–431

    Google Scholar 

  • Bell DE (1982) Regret in decision making under uncertainty. Oper Res 30(5):961–981

    MATH  Google Scholar 

  • Deng J, Zhan J, Ding W, Liu P, Pedrycz W (2023) A novel prospect-theory-based three-way decision methodology in multi-scale information systems. Artif Intell Rev 56(7):6591–6625

    Google Scholar 

  • Deng J, Zhan J, Herrera-Viedma E, Herrera F (2023) Regret theory-based three-way decision method on incomplete multi-scale decision information systems with interval fuzzy numbers. IEEE Trans Fuzzy Syst 31(3):982–996

    Google Scholar 

  • Dice LR (1945) Measures of the amount of ecologic association between species. Ecology 26(3):297–302

    Google Scholar 

  • Du J, Liu S, Liu Y, Yi J (2022) A novel approach to three-way conflict analysis and resolution with Pythagorean fuzzy information. Inf Sci 584:65–88

    Google Scholar 

  • Feng XF, Yang HL, Guo ZL (2023) Three-way conflict analysis in dual hesitant fuzzy situation tables. Intern J Approx Reason 154:109–132

    MathSciNet  MATH  Google Scholar 

  • Garg H, Chen S (2020) Multiattribute group decision making based on neutrality aggregation operators of q-rung orthopair fuzzy sets. Inf Sci 517:427–447

    MathSciNet  MATH  Google Scholar 

  • Gregori V, Romaguera S, Veeramani P (2006) A note on intuitionistic fuzzy metric space. Chaos Solitions Fractals 28:902–905

    MathSciNet  MATH  Google Scholar 

  • Huang X, Zhan J, Ding W, Pedrycz W (2023) Regret theory-based multivariate fusion prediction system and its application to interest rate estimation in multi-scale information systems. Inf Fusion 99:101860

    Google Scholar 

  • Huang X, Zhan J, Xu Z, Fujita H (2023) A prospect-regret theory-based three-way decision model with intuitionistic fuzzy numbers under incomplete multi-scale decision information systems. Expert Syst Appl 214119:144

    Google Scholar 

  • Hwang CL, Yoon K (1981) Multiple attribute decision making methods and applications. Springer, Berlin

    MATH  Google Scholar 

  • Kahneman D, Tversky A (1979) Prospect theory: an analysis of decision under risk. Econometrica 47:263–291

    MathSciNet  MATH  Google Scholar 

  • Lang G, Miao D, Fujita H (2020) Three-way group conflict analysis based on Pythagorean fuzzy set theory. IEEE Trans Fuzzy Syst 28(3):447–461

    Google Scholar 

  • Lang GM, Yao YY (2021) New measures of alliance and conflict for three-way conflict analysis. Intern J Approx Reason 132:49–69

    MathSciNet  MATH  Google Scholar 

  • Lang GM, Yao YY (2023) Formal concept analysis perspectives on three-way conflict analysis. Int J Approx Reason 152:160–182

    MathSciNet  MATH  Google Scholar 

  • Lang GM, Miao DQ, Cai MJ (2017) Three-way decision approaches to conflict analysis using decision-theoretic rough set theory. Inf Sci 406–407:185–207

    MATH  Google Scholar 

  • Li H, Yin S, Yang Y (2019) Some preference relations based on q-rung orthopair fuzzy sets. Intern J Intell Syst 34(11):2920–2936

    Google Scholar 

  • Li XN, Wang X, Lang GM, Yi HJ (2021) Conflict analysis based on three-way decision for triangular fuzzy information systems. Intern J Approx Reason 132:88–106

    MathSciNet  MATH  Google Scholar 

  • Li XN, Yang YP, Yi HJ, Yu QQ (2022) Conflict analysis based on three-way decision for trapezoidal fuzzy information systems. Int J Mach Learn Cybern 13:929–945

    Google Scholar 

  • Li T, Qiao J, Ding W (2023) Three-way conflict analysis and resolution based on q-rung orthopair fuzzy information. Inf Sci 638:118959

    Google Scholar 

  • Liang D, Cao W (2019) q-rung orthopair fuzzy sets-based decision-theoretic rough sets for three-way decisions under group decision making. Intern J Intell Syst 34(2):3139–3167

    MathSciNet  Google Scholar 

  • Liang DC, Wang MW, Xu ZS, Chen X (2021) Risk interval-valued three-way decisions model with regret theory and its application to project resource allocation. J Oper Res Soc 72(1):180–199

    Google Scholar 

  • Lin T, Yang B (2023) Three-way group conflict analysis based on [CDATA[q]]-rung orthopair fuzzy set theory. Comput Appl Math 30:42

    Google Scholar 

  • Liu Y, Lin Y (2015) Intuitionistic fuzzy rough set model based on conflict distance and applications. Appl Soft Comput 31:266–273

    Google Scholar 

  • Liu P, Chen SM, Wang P (2018) Multiple-attribute group decision-making based on q-rung Orthopair fuzzy power maclaurin symmetric mean operators. IEEE Trans Syst Man Cybern 99:1–16

    Google Scholar 

  • Liu P, Liu J (2018) Some q-rung orthopai fuzzy Bonferroni mean operators and their application to multi-attribute group decision making. Intern J Intell Sys 33(2):315–347

    Google Scholar 

  • Liu P, Wang P (2018) Some q-rung orthopair fuzzy aggregation operators and their applications to multiple-attribute decision making. Intern J Intell Syst 33(2):259–280

    Google Scholar 

  • Liu Z, Wang S, Liu P (2018) Multiple attribute group decision making based on q-rung orthopair fuzzy Heronian mean operators. Intern J Intell Syst 33(12):2341–2363

    Google Scholar 

  • Liu P, Li Y, Wang P (2022) Consistency threshold and score function-based multi-attribute decision-making with q-rung orthopair fuzzy preference relations. Inf Sci 618:356–378

    Google Scholar 

  • Loomes G, Sugden R (1982) Regret theory: an alternative theory of rational choice under uncertainty. Econ J 92(368):805–824

    Google Scholar 

  • Luo JF, Hu MJ, Lang GM, Yang X, Qin KY (2022) Three-way conflict analysis based on alliance and conflict functions. Inf Sci 594:322–359

    Google Scholar 

  • Mi X, Li J, Liao H, Zavadskas EK, Al-Barakati A, Barnawi A, Herrera-Viedma E (2019) Hospitality brand management by a score-based q-rung ortho pair fuzzy VIKOR method integrated with the best worst method. Eco Res-Ekonomska Istrazivanja 32(1):3266–3295

    Google Scholar 

  • Peng X, Dai J (2019) Research on the assessment of classroom teaching quality with q-rung orthopair fuzzy information based on multiparametric similarity measure and combinative distancebased assessment. Intern J Intell Syst 34(7):1588–1630

    Google Scholar 

  • Peng X, Huang H (2020) Fuzzy decision making method based on CoCoSo with critic for financial risk evaluation. Technol Econ Develop Econ 26(4):695–724

    Google Scholar 

  • Peng XD, Yang Y (2017) Algorithms for interval-valued fuzzy soft sets in stochastic multi-criteria decision making based on regret theory and prospect theory with combined weight. Appl Soft Comput 54:415–430

    Google Scholar 

  • Peng X, Dai J, Garg H (2018) Exponential operation and aggregation operator for q-rung orthopair fuzzy set and their decision-making method with a new score function. Intern J Intell Syst 33(11):2255–2282

    Google Scholar 

  • Peng X, Krishankumar R, Ravichandran KS (2019) Generalized orthopair fuzzy weighted distance-based approximation (WDBA) algorithm in emergency decision-making. Int J Intell Syst 34(10):2364–2402

    Google Scholar 

  • Peng L, Zhou X, Zhao J, Sun Y, Li H (2022) Three-way multi-attribute decision making under incomplete mixed environments using probabilistic similarity. Inf Sci 614:432–463

    Google Scholar 

  • Rani P, Mishra AR (2020) Multi-criteria weighted aggregated sum product assessment framework for fuel technology selection using q-rung orthopair fuzzy sets. Sustain Prod Consum 24:90–104

    Google Scholar 

  • Suo LW, Yang HL (2022) Three-hierarchical three-way decision models for conflict analysis: a qualitative improvement and a quantitative extension. Int J Approx Reason 145:51–74

    Google Scholar 

  • Tan CQ, Ip WH, Chen XH (2014) Stochastic multiple criteria decision making with aspiration level based on prospect stochastic dominance. Knowl-Based Syst 70:231–241

    Google Scholar 

  • Tang G, Chiclana F, Liu P (2020) A decision-theoretic rough set model with [CDATA[q]]-rung orthopair fuzzy information and its application in stock investment evaluation. Appl Soft Comput 91:106212

    Google Scholar 

  • Tversky A, Kahneman D (1992) Advances in prospect theory: cumulative representation of uncertainty. J Risk Uncertain 5(4):297–323

    MATH  Google Scholar 

  • Wang TX, Li HX, Zhou XZ, Huang B, Zhu HB (2020) A prospect theory three-way decision mode. Knowl-Based Syst 203:106–129

    Google Scholar 

  • Wang TX, Li HX, Zhang LB, Zhou XZ, Huang B (2020) A three-way decision model based on cumulative prospect theory. Inf Sci 519:74–92

    MathSciNet  MATH  Google Scholar 

  • Wang T, Li H, Zhou X, Liu D, Huang B (2021) Three-way decision based on third-generation prospect theory with Z-numbers. Inf Sci 569:13–38

    MathSciNet  Google Scholar 

  • Wang W, Zhan J, Herrera-Viedma E (2022) A three-way decision approach with a probability dominance relation based on prospect theory for incomplete information systems. Inf Sci 611:199–224

    Google Scholar 

  • Wang J, Ma X, Xu Z, Zhan J (2022) Regret theory-based three-way decision model in hesitant fuzzy environments and its application to medical decision. IEEE Trans Fuzzy Syst 30(12):5361–5375

    Google Scholar 

  • Wang TX, Li HX, Qian YH, Huang B, Zhou XZ (2022) A regret-based three-way decision model under interval type-2 fuzzy environment. IEEE Transactions on Fuzzy Systems 22:175–189

    Google Scholar 

  • Wang W, Zhan J, Zhang C, Herrera-Viedma E, Kou G (2023) A regret-theory-based three-way decision method with a priori probability tolerance dominance relation in fuzzy incomplete information systems. Inf Fusion 89:382–396

    Google Scholar 

  • Wei G, Gao H, Wei Y (2018) Some q-rung orthopair fuzzy heronian mean operators in multiple attribute decision making. Intern J Intell Syst 33(7):1426–1458

    Google Scholar 

  • Xiao L, Huang G, Pedrycz W, Pamucar D, Martínez L, Zhang G (2022) A q-rung orthopair fuzzy decision-making model with new score function and best-worst method for manufacturer selection. Inf Sci 608:153–177

    Google Scholar 

  • Xing Y, Zhang R, Zhou Z, Wang J (2019) Some q-rung orthopair fuzzy point weighted aggregation operators for multi-attribute decision making. Soft Comput 23(22):11627–11649

    MATH  Google Scholar 

  • Xing Y, Zhang R, Wang J, Bai K, Xue J (2019) A new multi-criteria group decision-making approach based on q-rung orthopair fuzzy interaction Hamy mean operators. Neural Comput Appl 31(4):1–24

    Google Scholar 

  • Xu L, Liu Y, Liu H (2019) Some improved q-rung orthopair fuzzy aggregation operators and their applications to multiattribute group decision making. Math Problems Eng 2019:1–18

    MathSciNet  MATH  Google Scholar 

  • Xu F, Cai MJ, Song HL, Dai JH (2022) The selection of feasible strategies based on consistency measurement of cliques. Inf Sci 583:33–55

    Google Scholar 

  • Yager RR (2017) Generalized orthopair fuzzy sets. IEEE Trans Fuzzy Syst 25(5):1222–1230

    Google Scholar 

  • Ye J, Zhan J, Ding W, Fujita H (2022) A novel three-way decision approach in decision information systems. Inf Sci 584:1–30

    Google Scholar 

  • Yi H, Zhang H, Li X, Yang Y (2021) Three-way conflict analysis based on hesitant fuzzy information systems. Intern J Approx Reason 139:12–27

    MathSciNet  MATH  Google Scholar 

  • Zhan J, Deng J, Xu Z, Martínez L (2023) A three-way decision methodology with regret theory via triangular fuzzy numbers in incomplete multi-scale decision information systems. IEEE Trans Fuzzy Syst 31(8):2773–2787

    Google Scholar 

  • Zhang C, Bai W, Li D, Zhan J (2022) Multiple attribute group decision making based on multigranulation probabilistic models, MULTIMOORA and TPOP in incomplete q-rung orthopair fuzzy information systems. Intern J Approx Reason 143:102–120

    MATH  Google Scholar 

  • 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. Intern J Approx Reason 138:161–187

    MathSciNet  MATH  Google Scholar 

  • Zhang XY, Chen L (2022) Three-hierarchical three-way decision models for conflict analysis: a qualitative improvement and a quantitative extension. Inf Sci 587:485–514

    Google Scholar 

  • Zhi HL, Qi JJ, Qian T, Ren RS (2020) Conflict analysis under one-vote veto based on approximate three-way concept lattice. Inf Sci 516:316–330

    MathSciNet  Google Scholar 

  • Zhu J, Ma X, Zhan J (2022) A regret theory-based three-way decision approach with three strategies. Inf Sci 595:89–118

    Google Scholar 

  • Zhu J, Maa X, Zhan J, Yao Y (2022) A three-way multi-attribute decision making method based on regret theory and its application to medical data in fuzzy environments. Applied Soft Computing 123:108975

    Google Scholar 

  • Zhu J, Ma X, Kou G, Herrera-Viedma E, Zhan J (2023) A three-way consensus model with regret theory under the framework of probabilistic linguistic term sets. Inf Fusion 95:250–274

    Google Scholar 

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PM: Conceptualization of this study, Methodology, Validation, Formal analysis, Writing–original draft. SS: Validation, Writing–review & editing. MP: Visualization, Formal analysis, Supervision. ASR: Visualization & Formal analysis.

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Correspondence to Sovan Samanta.

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Mandal, P., Samanta, S., Pal, M. et al. Regret theory based three-way conflict analysis model under q-rung orthopair fuzzy information: studies with parameter and three-way decision-making-based approaches. Artif Intell Rev 56 (Suppl 3), 3417–3469 (2023). https://doi.org/10.1007/s10462-023-10607-z

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