Abstract
Probabilistic linguistic term sets (PLTSs) are suitable for enunciating evaluators’ complex linguistic perceptions more accurately within the intricate qualitative setting. Usually, the PLTS is based on a balanced concept and does not serve as a good information representation for an unbalanced qualitative concept. Therefore, to reflect experts’ distinct preferences and uncertainties, this paper proposes a new PLTS called the probabilistic multiplicative unbalanced linguistic term set (PM-ULTS), where both probabilities and non-uniform spacing of the linguistic labels are considered simultaneously. Afterwards, we put forward specific operational laws for the newly constructed PLTS to preserve the resultant linguistic labels and corresponding probability information. Some elementary aggregation operators beneficial in aggregating probabilistic linguistic information in decision-making problems are also constructed, and their excellent properties are addressed. Furthermore, based on the proposed concept, this study initiates the design of a unified two-person linguistic matrix game model with the new PLTS as a parameter. It addresses the imprecise information by the information measure function. Such a two-player probabilistic unbalanced linguistic matrix game is considered a convenient technique for multiple decision scenarios. Additionally, the proposed game model involves a re-translation process to convert the output back into the original probabilistic unbalanced linguistic domain without information loss, thereby escalating the interpretability of the game model compared with other existing uncertain matrix game methodologies. Finally, we discuss the significance of the proposed methodology and concept to question its validity and usefulness by presenting suitable examples.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Data availability statement
Not applicable.
References
Arfi B (2006) Linguistic fuzzy-logic game theory. J Confl Resolut 50(1):28–57
Arfi B (2006) Linguistic fuzzy-logic social game of cooperation. Ration Soc 18:471–537
Barron EN (2009) Game theory: an introduction. Wiley, New Jersy
Bector CR, Chandra S (2005) Fuzzy mathematical programming and fuzzy matrix games. Springer, Heidelberg
Bector CR, Chandra S, Vidyottama V (2004) Duality in linear programming with fuzzy parameters and matrix games with fuzzy payoffs. Fuzzy Sets Syst 146:253–269
Bai C, Ren Z, Shuang S et al (2018) Interval-valued probabilistic linguistic term sets in multi-criteria group decision making. Int J Intell Syst 33(6):1301–1321
Chen YW, Larbani M (2006) Two-person zero-sum game approach for fuzzy multiple attribute decision making problems. Fuzzy Sets Syst 157(1):34–51
Chen J, Hai W, Xu Z (2019) Uncertain probabilistic linguistic term sets in group decision making. Int J Fuzzy Syst 21(3):1241–1258
Cabrerizo FJ, Pérez IJ, Herrera-Viedma E (2010) Managing the consensus in group decision making in an unbalanced fuzzy linguistic context with incomplete information. Knowl Based Syst 23:169–181
Dubois D, Prade H (1980) Fuzzy sets and systems. Theory and applications. Mathematics in sciences and engineering series, vol 144. Academic Press, New York
Dong Y, Xu Y, Yu S (2009) Computing the numerical scale of the linguistic term set for the 2-tuple fuzzy linguistic representation model. IEEE Trans Fuzzy Syst 17(6):1366–1378
Dong Y, Li CC, Herrera F (2016) Connecting the linguistic hierarchy and the numerical scale for the 2-tuple linguistic model and its use to deal with hesitant unbalanced linguistic information. Inf Sci 367:259–278
Dong YC, Li CC, Herrera F (2015) An optimization-based approach to adjusting unbalanced linguistic preference relations to obtain a required consistency level. Inf Sci 292:27–38
Dong YC, Li CC, Xu Y, Gu X (2015) Consensus-based group decision making under multi-granular unbalanced 2-tuple linguistic preference relations. Group Decis Negot 24:217–242
Dong YC, Wu YZ, Zhang HJ, Zhang GG (2015) Multi-granular unbalanced linguistic distribution assessments with interval symbolic proportions. Knowl Based Syst 82:139–151
Fernández FR, Puerto J, Zafra MJ (2002) Cores of stochastic cooperative games. Int Game Theory Rev 4(3):265–280
Feng X, Liu Q, Wei C (2019) Probabilistic linguistic QUALIFLEX approach with possibility degree comparison. J Intell Fuzzy Syst 36(1):710–730
Gou XJ, Xu ZS (2016) Novel basic operational laws for linguistic terms, hesitant fuzzy linguistic term sets and probabilistic linguistic term sets. Inf Sci 372:407–427
Han B, Tao Z, Chen H, Zhou L, Liu J (2020) A new computational model based on Archimedean copula for probabilistic unbalanced linguistic term set and its application to multiple attribute group decision making. Comput Ind Eng 140:106–264
Han B, Chen HY, Zhu JM, Liu JP (2018) An approach to linguistic multiple attribute decision-making based on unbalanced linguistic generalized Heronian mean aggregation operator. Comput Intell Neurosci. https://doi.org/10.1155/2018/1404067
Han B, Tao ZF, Chen HY, Zhou LG (2018) Intuitionistic unbalanced linguistic generalized multiple attribute group decision making and its application to green products selection. Math Probl Eng 1–24
Herrera F, Herrera-Viedma E, Martínez L (2008) A fuzzy linguistic methodology to deal with unbalanced linguistic term sets. IEEE Trans Fuzzy Syst 16(2):354–370
Isern D, Marin L, Valls A, Moreno A (2010) The unbalanced linguistic ordered weighted averaging operator. In: IEEE International conference on fuzzy systems (FUZZ), p 1–8
Jiang L, Liu HB, Cai JF (2015) The power average operator for unbalanced linguistic term sets. Inf Fusion 22:85–94
Liao HC, Jiang LS, Xu ZS, Xu JP, Herrera F (2017) A probabilistic linguistic linear programming method in hesitant qualitative multiple criteria decision making. Inf Sci 415–416:341–355
Liao HC, Jiang L, Lev B et al (2019) Novel operations of PLTSs based on the disparity degrees of linguistic terms and their use in designing the probabilistic linguistic ELECTRE III method. Appl Soft Comput 80:450–464
Liu P, Li Y (2019) Multi-attribute decision making method based on generalized Maclaurin symmetric mean aggregation operators for probabilistic linguistic information. Comput Ind Eng 131:282–294
Liu PD, Teng F (2019) Probabilistic linguistic TODIM method for selecting products through online product reviews. Inf Sci 485:441–455
Liu HB, Jiang L, Xu ZS (2018) Entropy measures of probabilistic linguistic term sets. Int J Comput Intell Syst 11:45–57
Lin M, Chen Z, Liao HC et al (2019) ELECTRE II method to deal with probabilistic linguistic term sets and its application to edge computing. Nonlinear Dyn 96(3):2125–2143
Lin MW, Wang HB, Xu ZS, Yao ZQ, Huang JL (2018) Clustering algorithms based on correlation coefficients for probabilistic linguistic term sets. Int J Intell Syst 33:2402–2424
Lin M, Chen Z, Xu Z, Gou X, Herrera F (2021) Score function based on concentration degree for probabilistic linguistic term sets: an application to TOPSIS and VIKOR. Inf Sci 551:270–290
Lin M, Xu Z et al (2018) Multi-attribute group decision-making under probabilistic uncertain linguistic environment. J Oper Res Soc 69(2):157–170
Li CC, Dong Y, Herrera F, Herrera-Viedma E, Martínez L (2017) Personalized individual semantics in computing with words for supporting linguistic group decision making. An application on consensus reaching. Inf Fusion 33:29–40
Li CC, Rodríguez RM, Herrera-Viedma E, Martínez L, Dong YC, Herrera F (2018) Personalized individual semantics based on consistency in hesitant linguistic group decision making with comparative linguistic expressions. Knowl Based Syst 145:156–165
Li DF, Nan JX, Zhang MJ (2012) Interval programming models for matrix games with interval payoffs. Optim Methods Softw 27(1):1–16
Li DF (2011) Linear programming approach to solve interval-valued matrix games. Omega 39(6):655–666
Ma Z, Zhu J, Chen Y (2019) A probabilistic linguistic group decision-making method from a reliability perspective based on evidential reasoning. IEEE Trans Syst Man Cybern Syst. https://doi.org/10.1109/TSMC.2018.2815716
Mata F, Pérez LG, Chiclana F, Herrera-Viedma E (2015) Aggregation of unbalanced fuzzy linguistic information in decision problems based on Type-1 OWA operator. In: IEEE international conference on in fuzzy systems (FUZZ-IEEE), p 1–6
Meng D, Pei Z (2013) On weighted unbalanced linguistic aggregation operators in group decision making. Inf Sci 223:31–41
Mao XB, Wu M, Dong JY, Wan SP, Jin Z (2019) A new method for probabilistic linguistic multi-attribute group decision making: application to the selection of financial technologies. Appl Soft Comput 77:155–175
Mi X, Liao H, Zeng XJ, Xu Z (2021) The two-person and zero-sum matrix game with probabilistic linguistic information. Inf Sci 570:487–499
Malhotra T, Gupta A (2020) A new 2-tuple linguistic approach for unbalanced linguistic term sets. IEEE Trans Fuzzy Syst 29:2158–2168
Malhotra T, Gupta A, Singh A (2019) Methodology for interval-valued matrix games with 2-tuple fuzzy linguistic information. In: International conference on numerical computations: theory and algorithms, Springer, Cham, p 154–168
Martinez L, Ruan D, Herrera F, Herrera-Viedma E, Wang PP (2009) Linguistic decision making: tools and applications. Inf Sci 179(14):2297–2298
Nan JX, Li DF (2014) Linear programming technique for solving interval-valued constraint matrix games. J Ind Manag Optim 10(4):1059–1070
Nishizaki I, Sakawa M (2001) Fuzzy and multiobjective games for conflict resolution. Physica-Verlag, Heidelberg
Pang Q, Wang H, Xu Z (2016) Probabilistic linguistic term sets in multi-attribute group decision making. Inf Sci 369:128–143
Pei Z, Zheng L (2017) New unbalanced linguistic scale sets: the linguistic information representations and applications. Comput Ind Eng 105:377–390
Suijs J, Borm P, De Waegenaere A (1998) Stochastic cooperative games in insurance. Insurance 22:209–228
Suijs J, Borm PP, De Waegenaere A, Tijs S (1999) Cooperative games with stochastic payoffs. Eur J Oper Res 113:193–205
Singh A, Gupta A, Mehra A (2020) Matrix games with 2-tuple linguistic information. Ann Oper Res 287(2):895–910
Singh A, Gupta A (2018) Matrix games with interval-valued 2-tuple linguistic information. Games 9(3):62
Song Y, Li G (2019) A large-scale group decision-making with incomplete multi-granular probabilistic linguistic term sets and its application in sustainable supplier selection. J Oper Res Soc 70(5):827–841
Sengupta JK (1989) A portfolio decisions as games. Int J Syst Sci 20(8):1323–1334
Tang M, Long Y, Liao H, Xu Z (2019) Inclusion measures of probabilistic linguistic term sets and their application in classifying cities in the Economic Zone of Chengdu Plain. Appl Soft Comput 82:105–572
Von Neumann J, Morgenstern O (1953) Theory of games and economic behavior, 3rd edn. Princeton University Press, Princeton
Wu XL, Liao HC, Xu ZS et al (2018) Probabilistic linguistic multimoora: a multicriteria decision making method based on the probabilistic linguistic expectation function and the improved borda rule. IEEE Trans Fuzzy Syst 26(6):3688–3702
Wu XL, Liao HC (2018) An approach to quality function deployment based on probabilistic linguistic term sets and ORESTE method for multi-expert multi-criteria decision making. Inf Fusion 43:13–26
Wu XL, Liao HC (2019) A consensus-based probabilistic linguistic gained and lost dominance score method. Eur J Oper Res 272(3):1017–1027
Wang JH, Hao J (2006) A new version of 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans Fuzzy Syst 14(3):435–445
Wang B, Liang J, Qian Y, Dang C (2015) A normalized numerical scaling method for the unbalanced multi-granular linguistic sets. Int J Uncertain Fuzziness Knowl Based Syst 23(2):221–243
Wang H, Xu Z, Zeng XJ (2018) Hesitant fuzzy linguistic term sets for linguistic decision making: current developments, issues and challenges. Inf Fusion 43:1–12
Xu ZS, He Y, Wang X (2019) An overview of probabilistic-based expressions for qualitative decision-making: techniques, comparisons and developments. Int J Mach Learn Cybern 10(6):1513–1528
Yu W, Zhang H, Li B (2019) Operators and comparisons of probabilistic linguistic term sets. Int J Intell Syst 34(7):1476–1504
Zhang YX, Xu ZS, Liao HC (2017) A consensus process for group decision making with probabilistic linguistic preference relations. Inf Sci 414:260–275
Zhang Y, Xu Z, Wang H, Liao H (2016) Consistency-based risk assessment with probabilistic linguistic preference relation. Appl Soft Comput 49:817–833
Zhang XL (2018) A novel probabilistic linguistic approach for large-scale group decision making with incomplete weight information. Int J Fuzzy Syst 20(7):2245–2256
Zhang XL, Xing XM (2017) Probabilistic linguistic VIKOR method to evaluate green supply chain initiatives. Sustainability 9(7):1231
Zhai Y, Xu Z, Liao H (2016) Probabilistic linguistic vector-term set and its application in group decision making with multi-granular linguistic information. Appl Soft Comput 49:801–816
Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-I. Inf Sci 8(3):199–249
Funding
Not applicable.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Code availability
Not applicable.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
1. Appendix
1. Appendix
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
Malhotra, T., Gupta, A. Probabilistic multiplicative unbalanced linguistic term set and its application in matrix games. Int. J. Mach. Learn. & Cyber. 14, 1253–1283 (2023). https://doi.org/10.1007/s13042-022-01697-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13042-022-01697-2