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TOPSIS in Generalized Intuitionistic Fuzzy Environment
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Author(s): Amal Kumar Adak (Jafuly Deshpran High School (H.S.), India), Debashree Manna (Damda Jr. High School, India), Monoranjan Bhowmik (Asam Central University (Silchar), India)and Madhumangal Pal (Vidyasagar University, India)
Copyright: 2016
Pages: 13
Source title:
Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics
Source Author(s)/Editor(s): Pandian Vasant (University of Technology Petronas, Malaysia), Gerhard-Wilhelm Weber (Middle East Technical University, Turkey)and Vo Ngoc Dieu (Ho Chi Minh City University of Technology, Vietnam)
DOI: 10.4018/978-1-4666-9644-0.ch024
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Abstract
The aim of this chapter is to investigate the multiple attribute decision making problems to a selected project with generalized intuitionistic fuzzy information in which the information about weights is completely known and the attributes values are taken from the generalized intuitionistic fuzzy environment. Here, we extend the technique for order performance by similarity to ideal solution (TOPSIS) for the generalized intuitionistic fuzzy data. In addition, obtained the concept of possibility degree of generalized intuitionistic fuzzy numbers and used to solve ranking alternative in multi-attribute decision making problems.
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