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A group decision making approach for trapezoidal fuzzy preference relations with compatibility measure

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Abstract

The purpose of this paper is to develop a new compatibility for the additive trapezoidal fuzzy preference relations and utilize it to determine the optimal weights of experts in the group decision making. First, a least deviation model to obtain the priority vector of the additive trapezoidal fuzzy preference relation is provided. Then compatibility index of two additive trapezoidal fuzzy preference relations is proposed and some desirable properties are investigated. The characteristic of the new compatibility is that it uses the deviation measure between an additive trapezoidal fuzzy preference relation and its characteristic preference relation based on consistency of the preference relation, which develops a theoretic basis for the application of additive trapezoidal fuzzy preference relations in group decision making. Then, in order to determine the weights of experts in the group decision making, we propose an optimal model based on the criterion of minimizing the compatibility index. Finally, an example shows the feasibility and effectiveness of the proposed method.

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References

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

    Article  MATH  Google Scholar 

  • Chen SJ, Chen SM (2007) Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers. Appl Intell 26:1–11

    Article  Google Scholar 

  • Chen HY, Zhou LG, Han B (2011) On compatibility of uncertain additive linguistic preference relations and its application in the group decision making. Knowl-Based Syst 24:816–823

    Article  Google Scholar 

  • Chen SM, Lin TE, Lee LW (2014) Group decision making using incomplete fuzzy preference relations based on the additive consistency and the order consistency. Inf Sci 259:1–15

    Article  MathSciNet  MATH  Google Scholar 

  • Chen SM, Cheng SH, Lin TE (2015) Group decision making systems using group recommendations based on interval fuzzy preference relations and consistency matrices. Inf Sci 298:555–567

    Article  MathSciNet  Google Scholar 

  • Cheng CH (1998) A new approach for ranking fuzzy numbers by distance method. Fuzzy Sets Syst 95:307–317

    Article  MathSciNet  MATH  Google Scholar 

  • Cheng CH (1999) Evaluating weapon systems using ranking fuzzy numbers. Fuzzy Sets Syst 107:25–35

    Article  MATH  Google Scholar 

  • Chiclana F, Herrera F, Herrera-Viedma E (2001) Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations. Fuzzy Sets Syst 122:277–291

    Article  MathSciNet  MATH  Google Scholar 

  • Chiclana F, Herrera-Viedma E, Alonso S, Herrera F (2009) Cardinal consistency of reciprocal preference relations: a characterization of multiplicative transitivity. IEEE Trans Fuzzy Syst 17:14–23

    Article  Google Scholar 

  • Chiclana F, Tapia Garcia JM, Del Moral MJ, Herrera-Viedma E (2013) A statistical comparative study of different similarity measures of consensus in group decision making. Inf Sci 221:110–123

    Article  MathSciNet  Google Scholar 

  • Chu TC (2002) Ranking fuzzy numbers with an area between the centroid point and original point. Comput Math Appl 43:111–117

    Article  MathSciNet  MATH  Google Scholar 

  • Conde E, Pérez MPR (2010) A linear optimization problem to derive relative weights using an interval judgement matrix. Eur J Oper Res 201:537–544

    Article  MathSciNet  MATH  Google Scholar 

  • Dong Y, Herrera-Viedma E (2015) Consistency-driven automatic methodology to set interval numerical scales of 2-tuple linguistic term sets and its use in the linguistic GDM with preference relation. IEEE Trans cybern 45:780–792

    Article  Google Scholar 

  • Dong YC, Li HY, Xu YF (2008) On reciprocity indexes in the aggregation of fuzzy preference relations using the OWA operator. Fuzzy Sets Syst 159:185–192

    Article  MathSciNet  MATH  Google Scholar 

  • Dong YC, Xu YF, Li HY (2008) On consistency measures of linguistic preference relations. Eur J Oper Res 189:430–444

    Article  MathSciNet  MATH  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  • Dong YC, Li CC, Herrera F (2015) An optimization-based approach to adjusting unbalanced lingusitic preference relations to obtain a required consistency level. Inf Sci 292:27–38

    Article  MATH  Google Scholar 

  • García JMT, Moral MJD, Martínez MA, Herrera-Viedma E (2012) A consensus model for group decision making problems with linguistic interval fuzzy preference relations. Expert Syst Appl 39:10022–10030

  • Genc S, Boran FE, Akay D, Xu ZS (2010) Interval multiplicative transitivity for consistency, missing values and priority weights of interval fuzzy preference relations. Inf Sci 180:4877–4891

    Article  MathSciNet  MATH  Google Scholar 

  • Gong ZW (2008) Least-square method to priority of the fuzzy preference relations with incomplete information. Int J Approx Reason 47:258–264

    Article  MATH  Google Scholar 

  • Gong ZW, Lin Y, Yao TX (2013) Uncertain fuzzy preference relations and their applications. Springer, Berlin

    Book  MATH  Google Scholar 

  • Herrera-Viedma E, Herrera F, Chiclana F, Luque M (2004) Some issues on consistency of fuzzy preference relations. Eur J Oper Res 154:98–109

    Article  MathSciNet  MATH  Google Scholar 

  • Lan JB, Hu MM, Ye XM, Sun SQ (2012) Deriving interval weights from an interval multiplicative consistent fuzzy preference relation. Knowl-Based Syst 26:128–134

    Article  Google Scholar 

  • Liou TS, Wang MJ (1992) Ranking fuzzy numbers with integral value. Fuzzy Sets Syst 50:247–255

    Article  MathSciNet  MATH  Google Scholar 

  • Liu F, Zhang WG, Fu JH (2012a) A new method of obtaining the priority weights from an interval fuzzy preference relation. Inf Sci 185:32–42

    Article  MATH  Google Scholar 

  • Liu XW, Pan YW, Xu YJ, Yu S (2012b) Least square completion and inconsistency repair methods for additively consistent fuzzy preference relations. Fuzzy Sets Syst 198:1–19

    Article  MathSciNet  MATH  Google Scholar 

  • Liu F, Zhang WG, Zhang LH (2014) Consistency analysis of triangular fuzzy reciprocal preference relations. Eur J Oper Res 235:718–726

    Article  MathSciNet  MATH  Google Scholar 

  • Meng FY, Chen XH (2015) A new method for group decision making with incomplete fuzzy preference relations. Knowl-Based Syst 73:111–123

    Article  Google Scholar 

  • Pérez IJ, Wikström R, Mezei J, Carlsson C, Herrera-Viedma E (2013) A new consensus model for group decision making using fuzzy ontology. Soft Comput 17:1617–1627

    Article  Google Scholar 

  • Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New York

    MATH  Google Scholar 

  • Saaty TL (1994) A ratio scale metric and compatibility of ratio scales: on the possibility of arrow’s-impossibility theorem. In: ISAHP, Washington, DC

  • Sugihara K, Ishii H, Tanaka H (2004) Interval priorities in AHP by interval regression analysis. Eur J Oper Res 158:745–754

    Article  MathSciNet  MATH  Google Scholar 

  • Ureña MR, Chiclana F, Morente-Molinera JA, Herrera-Viedma E (2015) Managing incomplete preference relations in decision making: a review and future trends. Inf Sci 302:14–32

    Article  MathSciNet  Google Scholar 

  • Wang ZJ (2015) Consistency analysis and priority derivation of triangular fuzzy preference relations based on modal value and geometric mean. Inf Sci 314:169–183

    Article  MathSciNet  Google Scholar 

  • Wang ZJ, Chen YG (2014) Logarithmic least squares prioritization and completion methods for interval fuzzy preference relations based on geometric transitivity. Inf Sci 289:59–75

    Article  MathSciNet  MATH  Google Scholar 

  • Wang YM, Elhag TMS (2007) A goal programming method for obtaining interval weights from an interval comparison matrix. Eur J Oper Res 177:458–471

    Article  MATH  Google Scholar 

  • Wang ZJ, Li KW (2012) Goal programming approaches to deriving interval weights based on interval fuzzy preference relations. Inf Sci 193:180–198

    Article  MathSciNet  MATH  Google Scholar 

  • Wang H, Xu ZS (2015) Some consistency measures of extended hesitant fuzzy linguistic preference relations. Inf Sci 297:316–331

    Article  MathSciNet  Google Scholar 

  • Wang YM, Yang JB, Xu DL (2005) A two-stage logarithmic goal programming method for generating weights from interval comparison matrices. Fuzzy Sets Syst 152:475–498

    Article  MathSciNet  MATH  Google Scholar 

  • Wang YM, Fan ZP, Hua ZS (2007) A chi-square method for obtaining a priority vector from multiplicative and fuzzy preference relations. Eur J Oper Res 182:356–366

    Article  MATH  Google Scholar 

  • Wang YL, Chen HY, Zhou LG (2013) Logarithm compatibility of interval multiplicative preference relations with an application to determining the optimal weights of experts in the group decision making. Group Decis Negot 22:759–772

    Article  Google Scholar 

  • Wu J, Chiclana F (2014) A social network analysis trust-consensus based approach to group decision-making problems with interval-valued fuzzy reciprocal preference relations. Knowl-Based Syst 59:97–107

    Article  Google Scholar 

  • Wu ZB, Xu JP (2012) A consistency and consensus based decision support model for group decision making with multiplicative preference relations. Decis Support Syst 52:757–767

    Article  Google Scholar 

  • Wu J, Chiclana F, Herrera-Viedma E (2015) Trust based consensus model for social network in incomplete linguistic information context. Appl Soft Comput 35:827–839

    Article  Google Scholar 

  • Xia MM, Xu ZS, Chen J (2013) Algorithms for improving consistency or consensus of reciprocal [0,1]-valued preference relations. Fuzzy Sets Syst 216:108–133

    Article  MathSciNet  MATH  Google Scholar 

  • Xu ZS (2004) On compatibility of interval fuzzy preference relations. Fuzzy Optim Decis Mak 3:217–225

    Article  MathSciNet  MATH  Google Scholar 

  • Xu ZS (2011) Consistency of interval fuzzy preference relations in group decision making. Appl Soft Comput 11:3898–3909

    Article  Google Scholar 

  • Xu ZS, Chen J (2008) Some models for deriving the priority weights from interval fuzzy preference relations. Eur J Oper Res 184:266–280

    Article  MathSciNet  MATH  Google Scholar 

  • Xu ZS, Wei CP (1999) A consistency improving method in the analytic hierarchy process. Eur J Oper Res 116:443–449

    Article  MATH  Google Scholar 

  • Xu YJ, Patnayakuni R, Wang HM (2013a) The ordinal consistency of a fuzzy preference relation. Inf Sci 224:152–164

    Article  MathSciNet  MATH  Google Scholar 

  • Xu YJ, Li KW, Wang HM (2013b) Distance-based consensus models for fuzzy and multiplicative preference relations. Inf Sci 253:56–73

    Article  MathSciNet  MATH  Google Scholar 

  • Yan HB, Ma TJ (2015) A group decision-making approach to uncertain quality function deployment based on fuzzy preference relation and fuzzy majority. Eur J Oper Res 241:815–829

    Article  MathSciNet  MATH  Google Scholar 

  • Zeng SZ, Su WH, Sun LR (2013) A method based on similarity measures for interactive group decision-making with intuitionistic fuzzy preference relations. Appl Math Model 37:6909–6917

    Article  MathSciNet  Google Scholar 

  • Zhang ZM, Wu C (2014) On the use of multiplicative consistency in hesitant fuzzy linguistic preference relations. Knowl-Based Syst 72:13–27

    Article  Google Scholar 

  • Zhang GQ, Dong YC, Xu YF (2012) Linear optimization modeling of consistency issues in group decision making based on fuzzy preference relations. Expert Syst Appl 39:2415–2420

    Article  Google Scholar 

  • Zhou LG, He YD, Chen HY, Liu JP (2014a) On compatibility of uncertain multiplicative linguistic preference relations based on the linguistic COWGA. Appl Intell 40:229–243

    Article  Google Scholar 

  • Zhou LG, He YD, Chen HY (2014b) On compatibility of interval multiplicative preference relations based on the COWGA operator. Int J UncertIN Fuzziness Knowl-Based Syst 22:407–428

    Article  MathSciNet  MATH  Google Scholar 

  • Zhu B, Xu ZS (2014) A fuzzy linear programming method for group decision making with additive reciprocal fuzzy preference relations. Fuzzy Sets Syst 246:19–33

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgments

The authors would like to thank the editor and anonymous referees for their insightful and constructive comments and suggestions that have led to an improved version of this paper. The work was supported by National Natural Science Foundation of China (Nos. 71301001, 71371011, 71501002), Higher School Specialized Research Fund for the Doctoral Program (No. 20123401110001), Project of Anhui Province for Excellent Young Talents. The Doctoral Scientific Research Foundation of Anhui University. Anhui Provincial Natural Science Foundation (No. 1308085QG127), Humanity and Social Science Youth Foundation of Ministry of Education (No. 13YJC630092), The Scientific Research and Development Foundation of Hefei University (No. 12KY02ZD) and Provincial Natural Science Research Project of Anhui Colleges (No. KJ2015A379).

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Correspondence to Ligang Zhou.

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Communicated by V. Loia.

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Zhou, Y., Cheng, L., Zhou, L. et al. A group decision making approach for trapezoidal fuzzy preference relations with compatibility measure. Soft Comput 21, 2709–2721 (2017). https://doi.org/10.1007/s00500-015-1975-z

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