Abstract
The aim of this study is to propose an objective method for determining weights of criteria (also called attributes) based on a new measure of intuitionistic fuzzy information, called knowledge measure, in a real-world multi-criteria decision-making problem under intuitionistic fuzzy and interval-valued intuitionistic fuzzy environment. To address this issue, we first analyze the existing entropy measures and show that their use in objective weight determination process may lead us to produce unreliable weights of criteria by citing appropriate examples. Then we analyze important properties of knowledge measure of intuitionistic fuzzy set (IFS) and also define knowledge measure for interval-valued intuitionistic fuzzy set. Then a new method to determine the weights of criteria is developed on the basis of knowledge measure where information about criteria weights is completely unknown and partly known. A real-life example is presented to illustrate the proposed weight determination method and a comparative analysis is carried out to indicate the practicality and effectiveness of knowledge-based weight-generation method under both intuitionistic fuzzy and interval-valued intuitionistic fuzzy environment. Finally, we formulate the axioms for knowledge measure associated with IFSs and we also propose families (classes) of knowledge measures.
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Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87–96
Atanassov KT, Gargov G (1989) Interval valued intuitionistic fuzzy sets. Fuzzy Sets Syst 31(3):343–349
Beliakov G, Pradera A, Calvo T (2007) Aggregation functions: a guide for practitioners, vol 361. Springer, Berlin
Chen SM, Tan JM (1994) Handling multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets Syst 67(2):163–172
Chen TY (2013) An interval-valued intuitionistic fuzzy LINMAP method with inclusion comparison possibilities and hybrid averaging operations for multiple criteria group decision making. Knowl Based Syst 45:134–146
Chen TY, Li CH (2010) Determining objective weights with intuitionistic fuzzy entropy measures: a comparative analysis. Inf Sci 180(21):4207–4222
Choi TN, Chan DW, Chan AP (2011) Perceived benefits of applying pay for safety scheme (PFSS) in construction—a factor analysis approach. Saf Sci 49(6):813–823
Das S, Dutta B, Guha D (2014) Weight computation of criteria in a decision making problem by knowledge measure. In: International conference on soft computing and machine intelligence (ISCMI). IEEE, pp 88–93
De SK, Biswas R, Roy AR (2000) Some operations on intuitionistic fuzzy sets. Fuzzy Sets Syst 114(3):477–484
De SK, Biswas R, Roy AR (2001) An application of intuitionistic fuzzy sets in medical diagnosis. Fuzzy Sets Syst 117(2):209–213
De Luca A, Termini S (1972) A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory. Inf Control 20(4):301–312
Farhadinia B (2014) An efficient similarity measure for intuitionistic fuzzy sets. Soft Comput 18(1):85–94
Guo K, Song Q (2014) On the entropy for Atanassov’s intuitionistic fuzzy sets: an interpretation from the perspective of amount of knowledge. Appl Soft Comput 24:328–340
Herrera F, Herrera-Viedma E (2000) Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy Sets Syst 115(1):67–82
Ho CTB, Wu DD (2009) Online banking performance evaluation using data envelopment analysis and principal component analysis. Comput Oper Res 36(6):1835–1842
Huang CW, Lin KP, Wu MC, Hung KC, Liu GS, Jen CH (2015) Intuitionistic fuzzy c-means clustering algorithm with neighborhood attraction in segmenting medical image. Soft Comput 19(2):459–470
Huang G, Liu Y (2005) The fuzzy entropy of vague sets based on non-fuzzy sets. Comput Appl Softw 22(6):16–17
Hwang C, Yoon K (1981) Multiple attribute decision making: methods and applications, a state of the art survey. Springer, New York
Hwang CL, Lin MJ (1987) Group decision making under multiple criteria. Springer, Berlin
Izadikhah M (2012) Group decision making process for supplier selection with TOPSIS method under interval-valued intuitionistic fuzzy numbers. Adv Fuzzy Syst 2012:1–14
Jin F, Pei L, Chen H, Zhou L (2014) Interval-valued intuitionistic fuzzy continuous weighted entropy and its application to multi-criteria fuzzy group decision making. Knowl Based Syst 59:132–141
Khaleie S, Fasanghari M (2012) An intuitionistic fuzzy group decision making method using entropy and association coefficient. Soft Comput 16(7):1197–1211
Kharal A (2009) Homeopathic drug selection using intuitionistic fuzzy sets. Homeopathy 98(1):35–39
Klir G, Yuan B (1995) Fuzzy sets and fuzzy logic, vol 4. Prentice Hall, New Jersey
Li DF (2005) Multiattribute decision making models and methods using intuitionistic fuzzy sets. J Comput Syst Sci 70(1):73–85
Li DF (2008) Extension of the LINMAP for multiattribute decision making under Atanassovs intuitionistic fuzzy environment. Fuzzy Optim Decis Mak 7(1):17–34
Li DF (2010a) Linear programming method for MADM with interval-valued intuitionistic fuzzy sets. Expert Syst Appl 37(8):5939–5945
Li DF (2010b) TOPSIS-based nonlinear-programming methodology for multiattribute decision making with interval-valued intuitionistic fuzzy sets. IEEE Trans Fuzzy Syst 18(2):299–311
Li DF, Wang YC, Liu S, Shan F (2009) Fractional programming methodology for multi-attribute group decision-making using IFS. Appl Soft Comput 9(1):219–225
Li M, Jin L, Wang J (2014) A new MCDM method combining QFD with TOPSIS for knowledge management system selection from the user’s perspective in intuitionistic fuzzy environment. Appl Soft Comput 21:28–37
Lin L, Yuan XH, Xia ZQ (2007) Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets. J Comput Syst Sci 73(1):84–88
Liu P, Zhang X (2011) Research on the supplier selection of a supply chain based on entropy weight and improved ELECTRE-III method. Int J Prod Res 49(3):637–646
Liu X, Zheng S, Xiong F (2005) Entropy and subsethood for general interval-valued intuitionistic fuzzy sets. In: Fuzzy systems and knowledge discovery. Springer, Berlin, pp 42–52
Ma J, Fan ZP, Huang LH (1999) A subjective and objective integrated approach to determine attribute weights. Eur J Oper Res 112(2):397–404
Pal NR, Bustince H, Pagola M, Mukherjee U, Goswami D, Beliakov G (2013) Uncertainties with Atanassovs intuitionistic fuzzy sets: fuzziness and lack of knowledge. Inf Sci 228:61–74
Papakostas GA, Hatzimichailidis AG, Kaburlasos VG (2013) Distance and similarity measures between intuitionistic fuzzy sets: a comparative analysis from a pattern recognition point of view. Pattern Recognit Lett 34(14):1609–1622
Park DG, Kwun YC, Park JH, Park IY (2009) Correlation coefficient of interval-valued intuitionistic fuzzy sets and its application to multiple attribute group decision making problems. Math Comput Model 50(9):1279–1293
Rao R, Patel B (2010) A subjective and objective integrated multiple attribute decision making method for material selection. Mater Des 31(10):4738–4747
Roy TK, Garai A (2012) Intuitionistic fuzzy delphi method: more realistic and interactive forecasting tool. Notes Intuit Fuzzy Sets 18(2):37–50
Sadiq R, Tesfamariam S (2009) Environmental decision-making under uncertainty using intuitionistic fuzzy analytic hierarchy process (IF-AHP). Stoch Environ Res Risk Assess 23(1):75–91
Satty TL et al (1980) The analytic hierarchy process. McGraw-Hill, New York
Shannon CE (2001) A mathematical theory of communication. Mob Comput Commun Rev 5(1):3–55
Szmidt E, Kacprzyk J (2000) Distances between intuitionistic fuzzy sets. Fuzzy Sets Syst 114(3):505–518
Szmidt E, Kacprzyk J (2001) Entropy for intuitionistic fuzzy sets. Fuzzy Sets Syst 118(3):467–477
Szmidt E, Kacprzyk J (2005a) A new measure of entropy and its connection with a similarity measure for intuitionistic fuzzy sets. In: EUSFLAT Conference, pp 461–466
Szmidt E, Kacprzyk J (2005b) New measures of entropy for intuitionistic fuzzy sets. In: Ninth international conference on IFSs, Sofia, vol 11, pp 12–20
Szmidt E, Kacprzyk J, Bujnowski P (2014) How to measure the amount of knowledge conveyed by Atanassovs intuitionistic fuzzy sets. Inf Sci 257:276–285
Tan C (2011) Generalized intuitionistic fuzzy geometric aggregation operator and its application to multi-criteria group decision making. Soft Comput 15(5):867–876
Wang Y, Lei Y (2007) A technique for constructing intuitionistic fuzzy entropy. Control Decis 22(12):1390–1394
Wang Z, Li KW, Wang W (2009) An approach to multiattribute decision making with interval-valued intuitionistic fuzzy assessments and incomplete weights. Inf Sci 179(17):3026–3040
Wei CP, Wang P, Zhang YZ (2011) Entropy, similarity measure of interval-valued intuitionistic fuzzy sets and their applications. Inf Sci 181(19):4273–4286
Wei GW (2008) Maximizing deviation method for multiple attribute decision making in intuitionistic fuzzy setting. Knowl Based Syst 21(8):833–836
Wei GW (2010) GRA method for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting. Knowl Based Syst 23(3):243–247
Wei GW (2011) Gray relational analysis method for intuitionistic fuzzy multiple attribute decision making. Expert Syst Appl 38(9):671–677
Wu J, Huang H, Cao Q (2013) Research on AHP with interval-valued intuitionistic fuzzy sets and its application in multi-criteria decision making problems. Appl Math Model 37(24):9898–9906
Xia HC, Li DF, Zhou JY, Wang JM (2006) Fuzzy LINMAP method for multiattribute decision making under fuzzy environments. J Comput Syst Sci 72(4):741–759
Xia M, Xu Z (2012) Entropy/cross entropy-based group decision making under intuitionistic fuzzy environment. Inf Fusion 13(1):31–47
Xu Z (2007a) Intuitionistic fuzzy aggregation operators. IEEE Trans Fuzzy Syst 15(6):1179–1187
Xu Z (2007b) Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making. Control Decis 22(2):215–219
Xu Z, Liao H (2014) Intuitionistic fuzzy analytic hierarchy process. IEEE Trans Fuzzy Syst 22(4):749–761
Xu Z, Yager RR (2009) Intuitionistic and interval-valued intutionistic fuzzy preference relations and their measures of similarity for the evaluation of agreement within a group. Fuzzy Optim Decis Mak 8(2):123–139
Xu ZS, Jian C (2007) Approach to group decision making based on interval-valued intuitionistic judgment matrices. Syst Eng Theory Pract 27(4):126–133
Yager RR (2004) OWA aggregation over a continuous interval argument with applications to decision making. IEEE Trans Syst Man Cybern Part B Cybern 34(5):1952–1963
Ye J (2010a) Fuzzy decision-making method based on the weighted correlation coefficient under intuitionistic fuzzy environment. Eur J Oper Res 205(1):202–204
Ye J (2010b) Multicriteria fuzzy decision-making method using entropy weights-based correlation coefficients of interval-valued intuitionistic fuzzy sets. Appl Math Model 34(12):3864–3870
Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353
Zhang QS, Jiang S, Jia B, Luo S (2010) Some information measures for interval-valued intuitionistic fuzzy sets. Inf Sci 180(24):5130–5145
Zhang QS, Jiang SY (2008) A note on information entropy measures for vague sets and its applications. Inf Sci 178(21):4184–4191
Acknowledgments
We are very grateful to the editors and the anonymous reviewers for their insightful and constructive comments and suggestions for the improvement of the manuscript. The first author gratefully acknowledges the financial support provided by the Ministry of Human Resource development, Government of India, and the second author gratefully acknowledges the financial support provided by the Council of Scientific and Industrial Research, New Delhi,India, under Award 09/1023(007)/2011-EMR-I.
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Communicated by S. Deb, T. Hanne and S. Fong.
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Das, S., Dutta, B. & Guha, D. Weight computation of criteria in a decision-making problem by knowledge measure with intuitionistic fuzzy set and interval-valued intuitionistic fuzzy set. Soft Comput 20, 3421–3442 (2016). https://doi.org/10.1007/s00500-015-1813-3
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DOI: https://doi.org/10.1007/s00500-015-1813-3