Journal
APPLIED SOFT COMPUTING
Volume 38, Issue -, Pages 988-999Publisher
ELSEVIER
DOI: 10.1016/j.asoc.2015.10.040
Keywords
Multi-criteria decision making; Attribute weights; Score function; Interval-valued intuitionistic fuzzy number
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The objective of this paper is divided into two folds. Firstly, a new generalized improved score function has been presented in the interval-valued intuitionistic fuzzy sets (IVIFSs) environment by incorporating the idea of weighted average of the degree of hesitation between their membership functions. Secondly, an IVIFSs based method for solving the multi-criteria decision making (MCDM) problem has been presented with completely unknown attribute weights. A ranking of the different attributes is based on the proposed generalized improved score functions and the sensitivity analysis on the ranking of the system has been done based on the decision-making parameters. An illustrative examples have been studied to show that the proposed function is more reasonable in the decision-making process than other existing functions. (C) 2015 Elsevier B.V. All rights reserved.
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