A complex proportional assessment method for group decision making in an interval-valued intuitionistic fuzzy environment

    Seyed Hossein Razavi Hajiagha Info
    Shide Sadat Hashemi Info
    Edmundas Kazimieras Zavadskas Info

Abstract

Multi-criteria decision making is an implicational field that concerns with selecting or designing the best scenarios among a finite set of scenarios based on a finite set of criteria. Different methods and techniques for handling this issue have been proposed. Complex proportional assessment is an analytical tool for solving multi-criteria decision making problems. Originally, the COPRAS method has been developed for decision making under a deterministic environment. Since uncertainty is an unavoidable property of decision making due to a lack of knowledge, this paper suggests an extended form of the COPRAS method used for group decision making problems in an uncertain environment where such uncertainty is captured through a generalized form of fuzzy sets - the so called interval valued intuitionistic fuzzy sets. An algorithmic scheme for the COPRAS-IVIF method has been introduced thus examining its application with reference to two numerical examples. It seems that the recommended framework of COPRAS-IVIF can be satisfactorily implemented in decision making problems under ambiguous and ill-defined conditions.

Keywords:

multiple criteria decision making, uncertainty, COPRAS, interval valued intuitionistic fuzzy sets

How to Cite

Razavi Hajiagha, S. H., Hashemi, S. S., & Zavadskas, E. K. (2013). A complex proportional assessment method for group decision making in an interval-valued intuitionistic fuzzy environment. Technological and Economic Development of Economy, 19(1), 22-37. https://doi.org/10.3846/20294913.2012.762953

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April 2, 2013
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2013-04-02

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How to Cite

Razavi Hajiagha, S. H., Hashemi, S. S., & Zavadskas, E. K. (2013). A complex proportional assessment method for group decision making in an interval-valued intuitionistic fuzzy environment. Technological and Economic Development of Economy, 19(1), 22-37. https://doi.org/10.3846/20294913.2012.762953

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