4.7 Article

Generalized triangular fuzzy correlated averaging operator and their application to multiple attribute decision making

Journal

APPLIED MATHEMATICAL MODELLING
Volume 36, Issue 7, Pages 2969-2976

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2011.09.062

Keywords

Multiple attribute decision making; Triangular fuzzy number; Generalized triangular fuzzy correlated averaging (GTFCA) operator

Funding

  1. National Natural Science Foundation of China [61174149]
  2. Natural Science Foundation of CQ CSTC of the People's Republic of China [CSTC,2011BA0035]
  3. Humanities and Social Sciences Foundation of Ministry of Education of the People's Republic of China [09XJA630010, 11XJC630011]
  4. China Postdoctoral Science Foundation [20100480269]

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We investigate the multiple attribute decision making problems with triangular fuzzy information. Motivated by the ideal of Choquet integral [G. Choquet, Theory of capacities, Ann. Instil Fourier 5 (1953) 131-295] and generalized OWA operator [R.R. Yager, Generalized OWA aggregation operators, Fuzzy Optim. Dec. Making 3 (2004) 93-107], in this paper, we have developed an generalized triangular fuzzy correlated averaging (GTFCA) operator. The prominent characteristic of the operators is that they cannot only consider the importance of the elements or their ordered positions, but also reflect the correlation among the elements or their ordered positions. We have applied the GTFCA operator to multiple attribute decision making problems with triangular fuzzy information. Finally an illustrative example has been given to show the developed method. (C) 2011 Elsevier Inc. All rights reserved.

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