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Open AccessJournal ArticleDOI

Extension of the TOPSIS method for decision making problems under interval-valued intuitionistic fuzzy environment

TLDR
This paper extends the TOPSIS method to solve multiple attribute group decision making (MAGDM) problems in interval-valued intuitionistic fuzzy environment in which all the preference information provided by the decision-makers is presented as interval-valuable intuitionism fuzzy decision matrices.
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This article is published in Applied Mathematical Modelling.The article was published on 2011-05-01 and is currently open access. It has received 290 citations till now. The article focuses on the topics: TOPSIS & Decision matrix.

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Citations
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Journal ArticleDOI

Review: A state-of the-art survey of TOPSIS applications

TL;DR: A state-of-the-art literature survey is conducted to taxonomize the research on TOPSIS applications and methodologies and suggests a framework for future attempts in this area for academic researchers and practitioners.
Journal ArticleDOI

Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014

TL;DR: The results of this study indicated that in 2013 scholars have published articles more than in other years, and energy, environment and sustainability were ranked as the first areas that have applied MCDM techniques and approaches.
Journal ArticleDOI

Development of TOPSIS Method to Solve Complicated Decision-Making Problems — An Overview on Developments from 2000 to 2015

TL;DR: This study shows the recent developments of TOPSIS approach which are presented by previous scholars and indicated that, previous studies have modifications related to this technique in 2011 more than other years.
Journal ArticleDOI

Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective

TL;DR: In this article, the authors employed a multi-criteria decision-making (MCDM) method to consider some subjective but important criteria for EVCS site selection to reflect the ambiguity and vagueness due to the subjective judgments of decision makers.
Journal ArticleDOI

Interval-valued intuitionistic hesitant fuzzy Choquet integral based TOPSIS method for multi-criteria group decision making

TL;DR: The main purpose of this paper is to define the Choquet integral operator for interval-valued intuitionistic hesitant fuzzy sets (IVIHFS) and to extend the technique for order preference by similarity to ideal solution (TOPSIS) method using Choquet Integral operator in interval- valued intuitionists hesitant fuzzy environment.
References
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Book ChapterDOI

The Analytic Hierarchy Process

TL;DR: Analytic Hierarchy Process (AHP) as mentioned in this paper is a systematic procedure for representing the elements of any problem hierarchically, which organizes the basic rationality by breaking down a problem into its smaller constituent parts and then guides decision makers through a series of pairwise comparison judgments to express the relative strength or intensity of impact of the elements in the hierarchy.
Book

Multiple Attribute Decision Making: Methods and Applications

TL;DR: In this paper, the authors present a classification of MADM methods by data type and propose a ranking method based on the degree of similarity of the MADM method to the original MADM algorithm.
Journal ArticleDOI

Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS

TL;DR: A comparative analysis of the multiple criteria decision making methods VIKOR and TOPSIS is illustrated with a numerical example, showing their similarity and some differences.
Journal ArticleDOI

Extensions of the TOPSIS for group decision-making under fuzzy environment

TL;DR: The rating of each alternative and the weight of each criterion are described by linguistic terms which can be expressed in triangular fuzzy numbers and a vertex method is proposed to calculate the distance between two triangular fuzzyNumbers.
Book

Interval-Valued Intuitionistic Fuzzy Sets

TL;DR: In this chapter, the basic definitions and properties of the interval valued intuitionistic fuzzy sets (IVIFSs) will be introduced and the majority of the proofs below are analogous to the proofs from Chapter 1.