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Crop Selection based on Fuzzy TOPSIS using Entropy Weights

by A. Sahaya Sudha, J. Rachel Inba Jeba
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 124 - Number 14
Year of Publication: 2015
Authors: A. Sahaya Sudha, J. Rachel Inba Jeba
10.5120/ijca2015905782

A. Sahaya Sudha, J. Rachel Inba Jeba . Crop Selection based on Fuzzy TOPSIS using Entropy Weights. International Journal of Computer Applications. 124, 14 ( August 2015), 16-20. DOI=10.5120/ijca2015905782

@article{ 10.5120/ijca2015905782,
author = { A. Sahaya Sudha, J. Rachel Inba Jeba },
title = { Crop Selection based on Fuzzy TOPSIS using Entropy Weights },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 124 },
number = { 14 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 16-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume124/number14/22173-2015905782/ },
doi = { 10.5120/ijca2015905782 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:14:44.540513+05:30
%A A. Sahaya Sudha
%A J. Rachel Inba Jeba
%T Crop Selection based on Fuzzy TOPSIS using Entropy Weights
%J International Journal of Computer Applications
%@ 0975-8887
%V 124
%N 14
%P 16-20
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The objective of this paper is to extend the TOPSIS to the fuzzy environment. FUZZY TOPSIS is one of the various models of multiple attributes decision making with triangular fuzzy values that so far diverse models have been introduced. The concepts represented in the decision data wherein the crisp value are inadequate to model in real-life situations. In this paper the rating of each alternatives are described by triangular fuzzy numbers, and the weights of each criterion are found by entropy. According to the concept of TOPSIS, a closeness coefficient is defined to determine the raking by calculating the distance of both the fuzzy positive-ideal solution and fuzzy negative-ideal solution. The proposed methods have been applied for five different crops with various criteria for a better and more accurate outputs.

References
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Index Terms

Computer Science
Information Sciences

Keywords

TOPSIS Fuzzy TOPSIS Triangular Fuzzy Numbers.

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