Fuzzy TOPSIS: A General View

By Sorin Nǎdǎban, S. Dzitac, Ioan Dzitac. 2016

382 citations recorded by the source corpus.

Abstract The aim of this survey paper is to offer a general view of the developments of fuzzy TOPSIS methods. We begin with a literature review an we explore different fuzzy models that have been applied to the decision making field. Finally, we present some applications of fuzzy TOPSIS.

Subfields: Artificial Intelligence, Management Science and Operations Research, Signal Processing

View Paper: https://www.semanticscholar.org/paper/204528a0b8ed7ca5a974612300fdfd924ce32347

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Fereydoon Sarmadian
2. Mohammad Ali Ghorbani

In Management Science and Operations Research

1. Fereydoon Sarmadian
2. Mohammad Ali Ghorbani
3. A. Jafarzadeh
4. F. Shahbazi
5. J. Seyedmohammadi

Citations in the corpus

• Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops (2018, methodology): “The arrangement of the comparison matrices will be as below (Nadaban et al., 2016; Zyoud et al., 2016): = = ⎡ ⎣ ⎢ ⎢ ⎢ ⎢ ⋯ ⋯ ⋮ ⋮ ⋱ ⋮ ⋯ ⎤ ⎦ ⎥ ⎥ ⎥ ⎥ ∼ ×A a l m u l m u l m u l m u l m u l m u ( ) (1, 1, 1) ( , , ) ( , , ) (1, 1, 1) ( , , ) ( , , ) ( , , ) ( , , ) (1, 1, 1) ͠ ij n n n n n n n n n n n n…”