This article introduces Icosagonal fuzzy number in the fuzzy decision making problem by. The value of Payoff matrix is specified by Icosagonal fuzzy number. We adapt the fuzzy decision making problem into crisp valued decision making problem by way of ranking to pay off. The crisp valued decision making problem can be efficiently gave out with Savage mini max regret criterion. V. Raju | S. Ramachandran "Icosagonal Fuzzy Number in Decision Making Problem" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, URL: https://www.ijtsrd.com/papers/ijtsrd47553.pdf Paper URL : https://www.ijtsrd.com/mathemetics/applied-mathamatics/47553/icosagonal-fuzzy-number-in-decision-making-problem/v-raju
International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 5 Issue 6, September-October 2021 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD47553 | Volume – 5 | Issue – 6 | Sep-Oct 2021
Page 1194
Icosagonal Fuzzy Number in Decision Making Problem
V. Raju
1
, S. Ramachandran
2
1Department of Mathematics, School of Basic Sciences,
Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, Tamil Nadu, India
2Department of Mathematics, St. Thomas College of Arts and Science, Chennai, Tamil Nadu, India
ABSTRACT
This article introduces Icosagonal fuzzy number in the fuzzy decision
making problem by. The value of Payoff matrix is specified by
Icosagonal fuzzy number. We adapt the fuzzy decision making
problem into crisp valued decision making problem by way of
ranking to pay off. The crisp valued decision making problem can be
efficiently gave out with Savage mini max regret criterion.
KEYWORDS: Icosagonal fuzzy number, fuzzy decision making, fuzzy
ranking and Savage mini max
How to cite this paper: V. Raju | S.
Ramachandran
"Icosagonal
Fuzzy
Number in Decision Making Problem"
Published
in
International
Journal of Trend in
Scientific Research
and Development
(ijtsrd),
ISSN:
2456-6470,
Volume-5 | Issue-6,
October 2021, pp.1194-1199, URL:
www.ijtsrd.com/papers/ijtsrd47553.pdf
Copyright © 2021 by author (s) and
International Journal of Trend in
Scientific Research and Development
Journal. This is an
Open Access article
distributed under the
terms of
the Creative Commons
Attribution License (CC BY 4.0)
(http://creativecommons.org/licenses/by/4.0)
1. INTRODUCTION
Fuzzy set theory was initiated by Zadeh [1].The
concept of fuzzy set theory gives out ambiguity and
indistinctness. This is the reason of uncertainty in
decision making problem. Uncertainty arises for
having the lack of understanding about insertion or
omission. W