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Set-theoretic models of three-way decision

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Abstract

The theory of three-way decision is about a philosophy of thinking in threes, a methodology of working with threes, and a mechanism of processing in threes. We approach a whole through three parts, in terms of three units, or from three perspectives. A trisecting–acting–outcome (TAO) model of three-way decision involves trisecting a whole into three parts and acting on the three parts, in order to produce an optimal outcome. In this paper, we further explore the TAO model in a set-theoretic setting and make three new contributions. The first contribution is an examination of three-way decision with nonstandard sets for representing concepts under the two kinds of objective/ontic and subjective/epistemic uncertainty. The second contribution is an introduction of an evaluation-based framework of three-way decision. We present a classification of trisections and investigate the notion of an evaluation space. The third contribution is, within the proposed framework, a systematical study of three-way decision with rough sets, interval sets, fuzzy sets, shadowed sets, rough fuzzy sets, interval fuzzy sets (or equivalently, vague sets, interval-valued fuzzy sets, intuitionistic fuzzy sets), and soft sets.

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References

  • Afridi MK, Azam N, Yao JT, Alanazi E (2018) A three-way clustering approach for handling missing data using GTRS. Int J Approx Reason 98:11–24

    Article  MathSciNet  MATH  Google Scholar 

  • Agbodah K (2019) The determination of three-way decisions with decision-theoretic rough sets considering the loss function evaluated by multiple experts. Granul Comput 4:285–297

    Article  Google Scholar 

  • Arnauld A, Nicole P (1996) Logic or the art of thinking, translated by Jill Vance Buroker. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20:87–96

    Article  MATH  Google Scholar 

  • Atanassov KT (1999) Intuitionistic fuzzy sets. Springer, Heidelberg

    Book  MATH  Google Scholar 

  • Béziau JV (2012) The power of the hexagon. Log Univ 6:1–43

    Article  MathSciNet  MATH  Google Scholar 

  • Bustince H, Burillo P (1996) Vague sets are intuitionistic fuzzy sets. Fuzzy Sets Syst 79:403–405

    Article  MathSciNet  MATH  Google Scholar 

  • Cacioppo JT, Berntson GG (1994) Relationship between attitudes and evaluative space: a critical review, with emphasis on the separability of positive and negative substrates. Psychol Bull 115:401–423

    Article  Google Scholar 

  • Cacioppo JT, Gardner WL, Berntson GG (1997) Beyond bipolar conceptualizations and measures: the case of attitudes and evaluative space. Pers Soc Psycholog Rev 1:3–25

    Article  Google Scholar 

  • Cai MJ, Li QG, Lang GM (2017) Shadowed sets of dynamic fuzzy sets. Granul Comput 2:85–94

    Article  Google Scholar 

  • Ciucci D (2011) Orthopairs: a simple and widely used way to model uncertainty. Fundam Inform 108:287–304

    Article  MathSciNet  MATH  Google Scholar 

  • Couso I, Dubois D (2014) Statistical reasoning with set-valued information: ontic vs. epistemic views. Int J Approximate Reason 55:1502–1518

    Article  MathSciNet  MATH  Google Scholar 

  • Deng XF, Yao YY (2014) Decision-theoretic three-way approximations of fuzzy sets. Inf Sci 279:702–715

    Article  MathSciNet  MATH  Google Scholar 

  • Dubois D (2010) Degrees of truth, ill-known sets and contradiction. In: Bouchon-Meunier B, Magdalena L, Ojeda-Aciego M, Verdegay JL, Yager RR (eds) Foundations of reasoning under uncertainty. Springer, Berlin, pp 65–83

    Chapter  Google Scholar 

  • Dubois D, Prade H (2008) An introduction to bipolar representations of information and preference. Int J Intell Syst 23:866–877

    Article  MATH  Google Scholar 

  • Dubois D, Prade H (1990) Rough fuzzy sets and fuzzy rough sets. Int J Gen Syst 17:191–209

    Article  MATH  Google Scholar 

  • Dubois D, Prade H (2012) Gradualness, uncertainty and bipolarity: making sense of fuzzy sets. Fuzzy Sets Syst 192:3–24

    Article  MathSciNet  MATH  Google Scholar 

  • Dundes A (1968) The number three in American culture. In: Dundes A (ed) Every man his way: readings in cultural anthropology. Prentice-Hall, Englewood Cliffs, pp 401–424

    Google Scholar 

  • Gau WL, Buehrer DJ (1993) Vague sets. IEEE Trans Syst Man Cybern 23:610–614

    Article  MATH  Google Scholar 

  • Horiuchi K, Šešelja B, Tepavčević A (2020) Trice-valued fuzzy sets: mathematical model for three-way decisions. Inf Sci 507:574–584

    Article  MathSciNet  Google Scholar 

  • Hu BQ (2014) Three-way decisions space and three-way decisions. Inf Sci 281:21–52

    Article  MathSciNet  MATH  Google Scholar 

  • Hu BQ, Wong H, Yiu KFC (2017) On two novel types of three-way decisions in three-way decision spaces. Int J Approx Reason 82:285–306

    Article  MathSciNet  MATH  Google Scholar 

  • Lang GM, Luo JF, Yao YY (2020) Three-way conflict analysis: a unification of models based on rough sets and formal concept analysis. Know Based Syst. https://doi.org/10.1016/j.knosys.2020.105556

    Article  Google Scholar 

  • Li HX, Zhang LB, Zhou XZ, Huang B (2017a) Cost-sensitive sequential three-way decision modeling using a deep neural network. Int J Approx Reason 85:68–78

    Article  MathSciNet  MATH  Google Scholar 

  • Li JH, Huang CC, Qi JJ, Qian YH, Liu WQ (2017b) Three-way cognitive concept learning via multi-granularity. Inf Sci 378:244–263

    Article  MATH  Google Scholar 

  • Li XN (2019) Three-way fuzzy matroids and granular computing. Int J Approx Reason 114:44–50

    Article  MathSciNet  MATH  Google Scholar 

  • Li XN, Yi HJ, She YH, Sun BZ (2018) Generalized three-way decision models based on subset evaluation. Int J Approx Reason 83:142–159

    Article  MathSciNet  MATH  Google Scholar 

  • Li ZW, Huang D (2019) A three-way decision method in a fuzzy condition decision information system and its application in credit card evaluation. Granul Comput. https://doi.org/10.1007/s41066-019-00172-8

    Article  Google Scholar 

  • Liang DC, Wang MW, Xu ZS, Liu D (2020) Risk appetite dual hesitant fuzzy three-way decisions with TODIM. Inf Sci 507:585–605

    Article  MathSciNet  Google Scholar 

  • Liu D, Liang DC (2016) Generalized three-way decisions and special three-way decisions. J Front Comput Sci Technol 11:502–510

    Google Scholar 

  • Liu D, Liang DC, Wang CC (2016) A novel three-way decision model based on incomplete information system. Knowl Based Syst 91:32–45

    Article  Google Scholar 

  • Ma JM, Zhang HY, Qian YH (2019) Three-way decisions with reflexive probabilistic rough fuzzy sets. Granul Comput 4:363–375

    Article  Google Scholar 

  • Mandal P, Ranadive AS (2019) Multi-granulation interval-valued fuzzy probabilistic rough sets and their corresponding three-way decisions based on interval-valued fuzzy preference relations. Granul Comput 4:89–108

    Article  Google Scholar 

  • Molodtsov D (1999) Soft set theory: first results. Comput Math Appl 37:19–31

    Article  MathSciNet  MATH  Google Scholar 

  • Osgood CE, Suci GJ, Tannenbaum PH (1957) The measurement of meaning. University of Illinois Press, Chicago

    Google Scholar 

  • Pawlak Z (1982) Rough sets. Int J Comput Inform Sci 11:341–356

    Article  MATH  Google Scholar 

  • Pawlak Z (1991) Rough sets: theoretical aspects of reasoning about data. Kluwer Academic Publishers, Boston

    Book  MATH  Google Scholar 

  • Pedrycz W (1998) Shadowed sets: representing and processing fuzzy sets. IEEE Trans Syst Man Cybern B Cybern 28:103–109

    Article  Google Scholar 

  • Pedrycz W (2009) From fuzzy sets to shadowed sets: interpretation and computing. Int J Intell Syst 24:48–61

    Article  MATH  Google Scholar 

  • Pedrycz W, Vukovich G (2002) Granular computing with shadowed sets. Int J Intell Syst 17:173–197

    Article  MATH  Google Scholar 

  • Qiao JS, Hu BQ (2020) On decision evaluation functions in generalized three-way decision spaces. Inf Sci 507:733–754

    Article  MathSciNet  Google Scholar 

  • Walker WE, Harremoës P, Rotmans J, van der Sluijs JP, van Asselt MBA, Janssen P, Krayer von Krauss MP (2003) Defining uncertainty: a conceptual basis for uncertainty management in model-based decision support. Integr Assess 4:5–17

    Article  Google Scholar 

  • Yang JL, Yao YY (2020) Semantics of soft sets and three-way decision with soft sets. Know Based Syst. https://doi.org/10.1016/j.knosys.2020.105538

    Article  Google Scholar 

  • Yang JL, Yao YY (2019) From intuitionistic fuzzy sets to shadowed sets: a three-way decision formulation. Manuscript

  • Yang X, Li TR, Liu D, Fujita H (2019a) A temporal-spatial composite sequential approach of three-way granular computing. Inf Sci 486:171–189

    Article  Google Scholar 

  • Yang XP, Li TJ, Tan AH (2019b) Three-way decisions in fuzzy incomplete information systems. Int J Mach Learn Cybernet. https://doi.org/10.1007/s13042-019-01025-1

    Article  Google Scholar 

  • Yao YY (1993) Interval-set algebra for qualitative knowledge representation. In: Proceedings of the fifth international conference on computing and information, pp 370–374

  • Yao YY (2010) Three-way decisions with probabilistic rough sets. Inf Sci 180:341–353

    Article  MathSciNet  Google Scholar 

  • Yao YY (2012) An outline of a theory of three-way decisions, RSCTC 2012. LNCS (LNAI) 7413:1–17

    Google Scholar 

  • Yao YY (2015) The two sides of the theory of rough sets. Knowl Based Syst 80:67–77

    Article  Google Scholar 

  • Yao YY (2016) Three-way decisions and cognitive computing. Cognit Comput 8:543–554

    Article  Google Scholar 

  • Yao YY (2017) Interval sets and three-way concept analysis in incomplete contexts. Int J Mach Learn Cybernet 8:3–20

    Article  Google Scholar 

  • Yao YY (2018) Three-way decision and granular computing. Int J Approx Reason 103:107–123

    Article  MATH  Google Scholar 

  • Yao YY (2019a) Three-way conflict analysis: reformulations and extensions of the Pawlak model. Knowl Based Syst 180:26–37

    Article  Google Scholar 

  • Yao YY (2019b) Tri-level thinking: models of three-way decision. Int J Mach Learn Cybernet. https://doi.org/10.1007/s13042-019-01040-2

    Article  Google Scholar 

  • Yao YY (2020) Three-way granular computing, rough sets, and formal concept analysis. Int J Approx Reason 116:106–125

    Article  MathSciNet  MATH  Google Scholar 

  • Yao YY, Wang S, Deng XF (2017) Constructing shadowed sets and three-way approximations of fuzzy set. Inf Sci 412–413:132–153

    Article  MathSciNet  MATH  Google Scholar 

  • Yu H (2018) Three-way decisions and three-way clustering. In: IJCRS 2018, LNCS (LNAI), vol 11103, pp 13–28

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353

    Article  MATH  Google Scholar 

  • Zhang CY, Feng XZ, Gao RY (2019a) Three-way decision models and its optimization based on Dempster–Shafer evidence theory and rough sets. Granul Comput. https://doi.org/10.1007/s41066-019-00201-6

    Article  Google Scholar 

  • Zhang CY, Gao RY, Qin H, Feng XZ (2019b) Three-way clustering method for incomplete information system based on set-pair analysis. Granul Comput. https://doi.org/10.1007/s41066-019-00197-z

    Article  Google Scholar 

  • Zhang QH, Xia DY, Liu KY, Wang GY (2020) A general model of decision-theoretic three-way approximations of fuzzy sets based on a heuristic algorithm. Inf Sci 507:522–539

    Article  Google Scholar 

  • Zhang Y, Yao JT (2020) Game theoretic approach to shadowed sets: a three-way tradeoff perspective. Inf Sci 507:540–552

    Article  Google Scholar 

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Acknowledgements

This work was supported in part by a Discovery Grant from NSERC, Canada. The author thanks Professors Witold Pedrycz and Shyi-Ming Chen for their encouragements during the preparation of the paper. The author is grateful to reviewers for their constructive and critical comments.

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Yao, Y. Set-theoretic models of three-way decision. Granul. Comput. 6, 133–148 (2021). https://doi.org/10.1007/s41066-020-00211-9

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