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A COGNITIVE STYLE AND AGGREGATION OPERATOR MODEL: A LINGUISTIC APPROACH FOR CLASSIFICATION AND SELECTION OF THE AGGREGATION OPERATORS | ||
Iranian Journal of Fuzzy Systems | ||
مقاله 3، دوره 10، شماره 1، اردیبهشت 2013، صفحه 29-60 اصل مقاله (819.84 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22111/ijfs.2013.154 | ||
نویسنده | ||
Kevin Kam Fung Yuen* | ||
Department of Computer science and Software Engineering, Xi'an Jiaotong-Liverpool University, 111 Ren Ai Road, Suzhou Industrial Park, Suzhou, Jiangsu Province, 215123, P. R. China | ||
چکیده | ||
Aggregation operators (AOs) have been studied by many schol- ars. As many AOs are proposed, there is still lacking approach to classify the categories of AO, and to select the appropriate AO within the AO candidates. In this research, each AO can be regarded as a cognitive style or individual di erence. A Cognitive Style and Aggregation Operator (CSAO) model is pro- posed to analyze the mapping relationship between the aggregation operators and the cognitive styles represented by the decision attitudes. Four algorithms are proposed for CSAO: CSAO-1, CSAO-2 and two selection strategies on the basis of CSAO-1 and CSAO-2. The numerical examples illustrate how the choice of the aggregation operators on the basis of the decision attitudes can be determined by the selection strategies of CSAO-1 and CSAO-2. The CSAO model can be applied to decision making systems with the selection problems of the appropriate aggregation operators with consideration of the cognitive styles of the decision makers. | ||
کلیدواژهها | ||
Cognitive styles؛ Aggregation operators؛ Information fusion؛ Decision attitudes؛ Decision making | ||
مراجع | ||
[1] B. S. Ahn and H. Park,Least-squared ordered weighted averaging operator weights, Interna-tional Journal of Intelligent Systems,23 (2008), 33-49. [2] G. W. Allport,Personality: a psychological interpretation, Holt & Co, New York, 1937. [3] G. R. Amin and A. Emrouznejad,Parametric aggregation in ordered weighted averaging,International Journal of Approximate Reasoning,52 (2011), 819-827. [4] N. Braisby and A. Gellatly,Foundations of cognitive psychology, in Braisby, N. and Gellatly,A. , eds., Cognitive Psychology, Oxford University Press Inc., Chapter 1, (2005), 1-32. [5] P. S. Bullen, D. S. Mitrinovic and O. M. Vasic,Means and their inequalities, D. Reidel Publishing Company, Dordrecht, 1988. [6] N. Cagman and S. Enginoglu,Fuzzy soft matrix theory and its application in decision making Iranian Journal of Fuzzy Systems,(2012), 109-119. [7] T. Calvo and R. Mesiar,Weighted triangular norms-based aggregation operators, Fuzzy Sets and Systems,137 (2003), 3-10. [8] M. DetynieckI,Mathematical aggregation operators and their application to video querying,Doctoral Thesis Research Report 2001-2002, Laboratoire dInformatique de Paris, 2000. [9] D. Dubois, H. Prade and C. Testemale,Weighted fuzzy pattern-matching, Fuzzy Sets and Systems,28 (1988), 313-331. [10] D. Dubois, H. Fargier and H. Prade,Re nements of the maximin approach to decision-making in a fuzzy environment, Fuzzy Sets and Systems, 81 (1996), 103-122. [11] D. Dubois and H. Prade,An introduction to bipolar representations of information and preference, International Journal of Intelligent Systems, 23 (2008), 866-877. [12] M. Espinilla, J. Liu and L. Martnez,An extended hierarchical linguistic model for decision-making problems, Computational Intelligence, 27 (2011), 489-512. [13] J. Fodor and M. Roubens,Fuzzy preference modeling and multicriteria decision support,Kluwer Academic Publisher, Dordrecht, 1994. [14] J. L. Garca-Lapresta and M. Martnez-Panero,Linguistic-based voting through centered OWA operators, Fuzzy Optimization and Decision Making, 8(2009), 381-393. [15] R. R. Ghiselli and R. Mesiar,Multi-attribute aggregation operators, Fuzzy Sets and Systems,181(2011), 1-13. [16] M. Grabisch, H. T. Nguyen and E. A. Walker,amentals of uncertainty calculi with applications to fuzzy inference, Kluwer Academics Publishers, Dordrecht, 1995. [17] F. Herrera, S. Alonso, F. Chiclana and E. Herrera-Viedma,Computing with words in decision making: foundations, trends and prospects, Fuzzy Optimization and Decision Making, 8(2009), 337-364. [18] F. Herrera and L. Martinez,A 2-tuple fuzzy linguistic representation model for computing with words, IEEE Transactions on Fuzzy Systems, 8 (2000), 746-752. [19] J. L. Marichal,Aggregation operators for multicriteria decision aid PhD. Thesis, University of Lige, Belgium, 1998. [20] J. Martn, G. Mayor and O. Valero,On aggregation of normed structures, Mathematical and Computer Modelling,54 (2011), 815-827. [21] L. Martnez, D. Ruan and F. Herrera,Computing with words in decision support systems:an overview on models and applications, International Journal of Computational Intelligence Systems,3 (2010), 382-395. [22] R. J. Riding and I. Cheema,Cognitive styles-an overview and integration, Educational Psy-chology,11 (1991), 193-215. [23] R. Smolikava and M. P. Wachowiak,Aggregation operators for selection problems, Fuzzy Sets and Systems,131(2002), 23-34. [24] Z. X. Su, G. P. Xia, M. Y. Chen and L. Wang,Induced generalized intuitionistic fuzzy OWA operator for multi-attribute group decision making, Expert Systems with Applications,39(2012), 1902-1910. [25] W. Wang and X. Liu,Intuitionistic fuzzy geometric aggregation operators based on einstein operations, International Journal of Intelligent Systems, 26 (2011), 1049-1075. [26] G. Wei,Some induced geometric aggregation operators with intuitionistic fuzzy information and their application to group decision making, Applied Soft Computing, 10 (2010), 423-431. [27] M. Xia and Z. Xu,Entropy/cross entropy-based group decision making under intuitionistic fuzzy environment, Information Fusion, 13(2012), 31-47. [28] Z. Xu and X. Cai,Recent advances in intuitionistic fuzzy information aggregation, Fuzzy Optimization and Decision Making,9 (2010), 359-381. [29] R. R. Yager,On ordered weighted averaging aggregation operators in multi-criteria decision making, IEEE trans. Systems, Man Cybernet., 18 (1988), 183-190. [30] R.R. Yager,On weighted median aggregation, Internat. J. Uncertainty, Fuzziness Knowledge-based Systems,2 (1994), 101-113. [31] R. R. Yager,On the analytic representation of Leximin ordering and its application to exible constraint propagation, European J. Oper. Res., 102 (1997), 176-192. [32] R. R. Yager and A. Rybalov,Full reinforcement operators in aggregation techniques, IEEE Trans. On Systems, Man, and Cybernetics Part B,28 (1998), 757-769. [33] R. R. Yager,OWA aggregation over a continuous interval argument with applications to decision making, IEEE Trans. On Systems, Man and Cybernetics- Part B, 34(2004), 1952-1963. [34] R. R. Yager and A. Rybalov,Bipolar aggregation using the Uninorms, Fuzzy Optimization and Decision Making,10(2011), 59-70. [35] K. K. F. Yuen and H. C. W. Lau,A linguistic-possibility-probability aggregation model for decision analysis with imperfect knowledge, Applied Soft Computing, 9(2009), 575-589. [36] K. K. F. Yuen,Selection of aggregation operators with decision attitudes, In J. Mehnen,A. Tiwari, M. Kppen and A. Saad, eds., Applications of Soft Computing: From Theory to Praxis, Advances in Intelligent and Soft Computing,58 (2009), 255-264. [37] K. K. F. Yuen,Cognitive network process with fuzzy soft computing technique for collective decision aiding, The Hong Kong Polytechnic University, PhD. Thesis, 2009. [38] K. K. F. Yuen,The primitive cognitive network process: comparisons with the analytic hi-erarchy process, International Journal of Information Technology and Decision Making, 10(2011), 659-680. [39] K. K. F. Yuen, Membership maximization prioritization methods for fuzzy analytic hierarchy process, Fuzzy Optimization and Decision Making, 11 (2012), 113-133. [40] S. Zeng and W. Su,Intuitionistic fuzzy ordered weighted distance operator, Knowledge-Based Systems,24 (2011), 1224-1232. [41] H. J. Zimmermann and P. Zysno,Latent connectives in human decision making, Fuzzy Sets and ystems, 4 (1980), 37-51. | ||
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