• Sheikh Ahmed Hossain

This paper proposes a new fuzzy TOPSIS decision making model using entropy weights for dealing with multiple attribute decision making (MADM) under intuitionistic fuzzy environment. The assignment of attribute weights is one of the most important issues in fuzzy multiple attribute decision making (MADM). In this study, attribute values are considered as intuitionistic fuzzy numbers while the information about attribute weights are completely unknown. Entropy is one of the weight measures based on objective evaluation. Non-probabilistic-type entropy measures for intuitionistic fuzzy sets have been developed and applied to measure attribute weights. Performance ratings are used to give a numerical measure of each attribute value. We have applied Intuitionistic Fuzzy TOPSIS to analyze performance matrix based on performance ratings and ranked them in order of preference.

Entropy weight; Intuitionistic Fuzzy Set; Multiple attribute decision making; TOPSIS

"Selection of car model through TOPSIS using intuitionistic fuzzy entropy weights", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.775-778, November-2018, Available :http://www.jetir.org/papers/JETIR1811C19.pdf

"Selection of car model through TOPSIS using intuitionistic fuzzy entropy weights", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp775-778, November-2018, Available at : http://www.jetir.org/papers/JETIR1811C19.pdf