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2-Tuple linguistic soft set and its application to group decision making

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Abstract

The aim of this paper is to put forward the 2-tuple linguistic soft set by combining the concepts of 2-tuple linguistic term set and soft set. The traditional set operations and corresponding properties are investigated. We develop the algebraic operations and discuss their corresponding properties based on which we introduce the applications of this theory in solving decision making problems. Four algorithms using the notion of 2-tuple linguistic soft information aggregation function are developed to handle group decision making problem. Finally, a selection problem of investment strategy is shown to illustrate the feasibility and validity of our approach.

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References

  • Alkhazaleh S, Salleh AR (2012) Generalised interval-valued fuzzy soft sets. J Appl Math. doi:10.1155/2012/870504

  • Alonso S, Cabrerizo F, Chiclana F, Herrera F, Herrera-Viedma E (2009) Group decision making with incomplete fuzzy linguistic preference relations. Int J Intell Systems 24:201–222

    Article  MATH  Google Scholar 

  • Basu TM, Mahapatra NK, Mondal SK (2012a) A balanced solution of a fuzzy soft set based decision making problem in medical science. Appl Soft Comput 12:3260–3275

    Article  Google Scholar 

  • Basu TM, Mahapatra NK, Mondal SK (2012b) Matrices in soft set theory and their applications in decision making problems. South Asian J Math 2(2):126–143

    MATH  Google Scholar 

  • Borah MJ, Neog TJ, Sut DK (2012) Fuzzy soft matrix theory and its decision making. Int J Modern Eng Res 2(2):121–127

    MathSciNet  Google Scholar 

  • Bordogna G, Pasi G (1993) A fuzzy linguistic approach generalizing Boolean information retrieval: a model and its evaluation. J Am Soc Inf Sci 44(2):70–82

    Article  Google Scholar 

  • Chetia B, Das PK (2012) Some results of intuitionistic fuzzy soft matrix theory. Adv Appl Sci Res 3(1):412–423

    Google Scholar 

  • Degani R, Bortolan G (1988) The problem of linguistic approximation in clinical decision making. Int J Approx Reason 2:143–162

    Article  Google Scholar 

  • Dong YC, Xu YF, Yu S (2009) Linguistic multiperson decision making based on the use of multiple preference relations. Fuzzy Sets Systems 160:603–623

    Article  MATH  MathSciNet  Google Scholar 

  • Franco C, Rodríguez JT, Montero J (2014) An ordinal approach to computing with words and the preference-aversion model. Inf Sci 258:239–248

    Article  Google Scholar 

  • García-Lapresta JL, Llamazares B, Martínez-Panero M (2010) A social choice analysis of the Borda rule in a general linguistic framework. Int J Comput Intell Systems 3:501–513

    Article  Google Scholar 

  • Herrera F, Herrera-Viedma E (2000) Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy Sets Systems 115:67–82

  • Herrera F, Martínez L (2000) A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans Fuzzy Systems 8(6):746–752

    Article  Google Scholar 

  • Herrera F, Martínez L (2001) The 2-tuple linguistic computational model: advantages of its linguistic description, accuracy and consistency. Int J Uncertain Fuzziness Knowl Based Systems 9(suppl):33–48

    Article  MATH  Google Scholar 

  • Herrera F, Herrera-Viedma E, Martínez L (2000) A fusion approach for managing multi-granularity linguistic term sets in decision making. Fuzzy Sets Systems 114:43–58

    Article  MATH  Google Scholar 

  • Herrera F, Herrera-Viedma E, Martínez L (2008) A fuzzy linguistic methodology to deal with unbalanced linguistic term sets. IEEE Trans Fuzzy Systems 16(2):354–370

    Article  Google Scholar 

  • Herrera F, Alonso S, Chiclana F, Herrera-Viedma E (2009) Computing with words in decision making: foundations, trends and prospects. Fuzzy Optim Decis Mak 8:337–364

  • Herrera-Viedma E, López-Herrera A (2007) A model of information retrieval system with unbalanced fuzzy linguistic information. Int J Intell Systems 22:1197–1214

    Article  MATH  Google Scholar 

  • Komorníková M, Mesiar R (2011) Aggregation functions on bounded partially ordered sets and their classification. Fuzzy Sets Systems 175(1):48–56

    Article  MATH  Google Scholar 

  • Kraft DH, Bordogna G, Pasi G (1994) An extended fuzzy linguistic approach to generalize Boolean information retrieval. Inf Sci 2(3):119–134

    MATH  Google Scholar 

  • Li CG, Zeng SZ, Pan TJ, Zheng LN (2014) A method based on induced aggregation operators and distance measures to multiple attribute decision making under 2-tuple linguistic environment. J Comput System Sci. http://dx.doi.org/10.1016/j.jcss.2014.03.004

  • Maji PK, Biswas R, Roy AR (2001a) Fuzzy soft sets. J Fuzzy Math 9:589–602

    MATH  MathSciNet  Google Scholar 

  • Maji PK, Biswas R, Roy AR (2001b) Intuitionistic fuzzy soft sets. J Fuzzy Math 9:677–692

    MATH  MathSciNet  Google Scholar 

  • Maji PK, Roy AR, Biswas R (2002) An application of soft sets in a decision making problem. Comput Math Appl 44:1077–1083

    Article  MATH  MathSciNet  Google Scholar 

  • Maji PK, Biswas R, Roy AR (2003) Soft set theory. Comput Math Appl 45:555–562

    Article  MATH  MathSciNet  Google Scholar 

  • Majumdar P, Samanta SK (2010) Generalised fuzzy soft sets. Comput Math Appl 59:1425–1432

    Article  MATH  MathSciNet  Google Scholar 

  • Mamdani EH, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic controller. Int J Man Mach Stud 7(1):1–13

    Article  MATH  Google Scholar 

  • Mao JJ, Yao DB, Wang CC (2013) Group decision making methods based on intuitionistic fuzzy soft matrices. Appl Math Modell 37:6425–6436

    Article  MathSciNet  Google Scholar 

  • Martin O, Klir GJ (2006) On the problem of retranslation in computing with perceptions. Int J General Systems 35(6):655–674

    Article  MATH  MathSciNet  Google Scholar 

  • Martínez L, Herrera F (2012) An overview on the 2-tuple linguistic model for computing with words in decision making: extensions, applications and challenges. Inf Sci 207:1–18

    Article  Google Scholar 

  • Martínez L, Pérez LG, Barranco M (2007) A multi-granular linguistic based-content recommendation model. Int J Intell Systems 22(5):419–434

    Article  Google Scholar 

  • Martínez L, Ruan D, Herrera F (2010) Computing with words in decision support systems: an overview on models and applications. Int J Comput Intell Systems 3(4):382–395

    Article  Google Scholar 

  • Massanet S, Riera JV, Torrens J, Herrera-Viedma E (2014) A new linguistic computational model based on discrete fuzzy numbers for computing with words. Inf Sci 258:277–290

    Article  MathSciNet  Google Scholar 

  • Molodtsov D (1999) Soft set theory—first results. Comput Math Appl 37(4–5):19–31

    Article  MATH  MathSciNet  Google Scholar 

  • Mondal S, Pal M (2011) Soft matrices. Afr J Math Comput Sci Res 4(13):379–388

    Google Scholar 

  • Neog TJ, Bora M, Sut DK (2012) On fuzzy soft matrix theory. Int J Math Arch 3(2):491–500

    Google Scholar 

  • Pacholczyk D (1998) A new approach to linguistic negation of nuanced information in knowledge-based systems. Artif Intell Methodol Systems Appl Lect Notes Comput Sci 1480:363–376

    Article  Google Scholar 

  • Park JH, Park JM, Kwun YC (2013) 2-Tuple linguistic harmonic operators and their applications in group decision making. Knowl Based Systems 44:10–19

  • Porcel C, López-Herrera AG, Herrera-Viedma E (2009) A recommender system for research resources based on fuzzy linguistic modeling. Expert Systems Appl 36 (3, Part 1): 5173–5183

  • Rajarajeswari P, Dhanalakshmi P (2013) Intuitionistic fuzzy soft matrix theory and its application in decision making. Int J Eng Res Technol 2(4):1100–1111

  • Rodríguez RM, Martínez L (2013) An analysis of symbolic linguistic computing models in decision making. Int J General Systems 42(1):121–136

  • Rodríguez RM, Martínez L, Herrera F (2012) Hesitant fuzzy linguistic term sets for decision making. IEEE Trans Fuzzy Systems 20(1):109–119

  • Roy AR, Maji PK (2007) A fuzzy soft set theoretic approach to decision making problems. J Comput Appl Math 203:412–418

    Article  MATH  Google Scholar 

  • Wan SP (2013) Some hybrid geometric aggregation operators with 2-tuple linguistic information and their applications to multi-attribute group decision making. Int J Comput Intell Systems 6(4):750–763

    Article  Google Scholar 

  • Wei GW (2010) Extension of TOPSIS method for 2-tuple linguistic multiple attribute group decision making with incomplete weight information. Knowl Inf Systems 25:623–634

    Article  Google Scholar 

  • Xiao Z, Chen WJ, Li LL (2012) An integrated FCM and fuzzy soft set for supplier selection problem based on risk evaluation. Appl Math Model 36(4):1444–1454

    Article  MATH  MathSciNet  Google Scholar 

  • Xu ZS (2008) Group decision making based on multiple types of linguistic preference relations. Inf Sci 178:452–467

    Article  MATH  Google Scholar 

  • Xu YJ, Wang HM (2011) Approaches based on 2-tuple linguistic power aggregation operators for multiple attribute group decision making under linguistic environment. Appl Soft Comput 11:3988–3997

    Article  Google Scholar 

  • Xu YJ, Merigó JM, Wang HM (2012) Linguistic power aggregation operators and their application to multiple attribute group decision making. Appl Math Model 36:5427–5444

    Article  MATH  MathSciNet  Google Scholar 

  • Yager RR (1991) Connectives and quantifiers in fuzzy sets. Fuzzy Sets Systems 40(1):39–75

    Article  MATH  MathSciNet  Google Scholar 

  • Yager RR (1996) Quantifier guided aggregation using OWA operators. Int J Intell Systems 11(1):49–73

    Article  Google Scholar 

  • Yang Y, Ji CL (2011) Fuzzy soft matrices and their applications, artificial intelligence and computational intelligence 2011, Part I. Lect Notes Comput Sci 7002:618–627

    Article  Google Scholar 

  • Yang XB, Lin TY, Yang JY, Li Y, Yu DJ (2009) Combination of interval-valued fuzzy set and soft set. Comput Math Appl 58:521–527

    Article  MATH  MathSciNet  Google Scholar 

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

    Article  MATH  MathSciNet  Google Scholar 

  • Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning, Part 1. Information Sciences, 8: pp. 199–249. Part 2. Information Sciences, 8: pp. 301–357. Part 3. Inf Sci 8:43–80

  • Zadeh LA (1996) Fuzzy logic=computing with words. IEEE Trans Fuzzy Systems 4(2):103–111

    Article  MathSciNet  Google Scholar 

  • Zhou LG, Chen HY (2012) A generalization of the power aggregation operators for linguistic environment and its application in group decision making. Knowl Based Systems 26:216–224

    Article  Google Scholar 

Download references

Acknowledgments

The work was supported by National Natural Science Foundation of China (71371011, 71301001, 71071002), Higher School Specialized Research Fund for the Doctoral Program (No. 20123401110001), The Scientific Research Foundation of the Returned Overseas Chinese Scholars, Anhui Provincial Natural Science Foundation (No. 1308085QG127), Provincial Natural Science Research Project of Anhui Colleges (No. KJ2012A026), Humanities and social science Research Project of Department of Education of Anhui Province (No. SK2013B041), Humanity and Social Science Youth foundation of Ministry of Education (13YJC630092).

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Correspondence to Huayou Chen.

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Communicated by V. Loia.

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Tao, Z., Chen, H., Zhou, L. et al. 2-Tuple linguistic soft set and its application to group decision making. Soft Comput 19, 1201–1213 (2015). https://doi.org/10.1007/s00500-014-1335-4

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