We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Applications of Fuzzy Logic in Decision Making Theory

Published on December 2013 by P. Bharathi
International Conference on Computing and information Technology 2013
Foundation of Computer Science USA
IC2IT - Number 1
December 2013
Authors: P. Bharathi
c6898897-3843-4174-ad41-6540ee5f3b55

P. Bharathi . Applications of Fuzzy Logic in Decision Making Theory. International Conference on Computing and information Technology 2013. IC2IT, 1 (December 2013), 22-25.

@article{
author = { P. Bharathi },
title = { Applications of Fuzzy Logic in Decision Making Theory },
journal = { International Conference on Computing and information Technology 2013 },
issue_date = { December 2013 },
volume = { IC2IT },
number = { 1 },
month = { December },
year = { 2013 },
issn = 0975-8887,
pages = { 22-25 },
numpages = 4,
url = { /proceedings/ic2it/number1/14387-1306/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Computing and information Technology 2013
%A P. Bharathi
%T Applications of Fuzzy Logic in Decision Making Theory
%J International Conference on Computing and information Technology 2013
%@ 0975-8887
%V IC2IT
%N 1
%P 22-25
%D 2013
%I International Journal of Computer Applications
Abstract

Most important decisions in organizations are finalized by group of experts. Human judgments including preferences are often vague and cannot be estimated in exact numerical values. This paper proposes a user-friendly fuzzy approach under the linguistic frame work to obtain optimal solution for Multi Criteria Decision Making problems. To accomplish this, an aggregate-deviation method based on fuzzy numbers is proposed. A fuzzy decision matrix plays an important role in our research problem . The purpose of this method is to enhance group agreement on the group decision making outcomes.

References
  1. R. Bellman and L. A. Zadeh, Decision-making in a fuzzy environment, Management Science,17B(1970) 141-164.
  2. Chen SJ, Chen SM (2005) Aggregating fuzzy opinions in the heterogeneous group decision making environment, Cybernetics And systems: Ann. Int . J. , 36: 309-338
  3. Hwang CL, Yoon KP (1981) Multiple Attribute decision making methods and applications, Newyork : Springer- Verlag
  4. G. J. Klir and T. A. Folger, Fuzzy Sets, Uncertainty and Information (Prentice-Hall, Englewood Cliffs, 1988).
  5. Madavi l ,Madhavi-Amiri N, Heidarzade A, Nourifar R (2008) Designing a model of fuzzy TOPSIS in multiple Criteria Decision Making, Appl. Math. Comput.
  6. Mohammad Anisseh and Rosnah bt Mohd Yusuff(Feb 2011), A fuzzy group decision making model for multiple criteria based on Borda Count , International Journal of the PhysicalSciences
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Decision Matrix Aggregate- Deviation Method