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Journal ArticleDOI

A framework to measure relative performance of Indian technical institutions using integrated fuzzy AHP and COPRAS methodology

TLDR
In this paper, the authors focused on performance evaluation and ranking of seven Indian Institute of Technology (IITs) in respect to stakeholders' preference using an integrated model consisting of fuzzy AHP and COPRAS.
Abstract
There are many opportunities and challenges in area of Indian technical education due to liberalization and globalization of economy. One of these challenges is how to assess performance of technical institutions based on multiple criteria. This paper is focused on performance evaluation and ranking of seven Indian Institute of Technology (IITs) in respect to stakeholders’ preference using an integrated model consisting of fuzzy AHP and COPRAS. Findings based on 2007–2008 data show that performance of two IITs need considerable improvement. To the best of our knowledge it is one of few studies that evaluates performance of technical institutions in India.

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Citations
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Journal ArticleDOI

Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014

TL;DR: This study reviewed a total of 403 papers published from 1994 to 2014 in more than 150 peer reviewed journals and indicated that, in 2013, scholars have published papers more than other years.
Journal ArticleDOI

A state-of the-art survey & testbed of fuzzy AHP (FAHP) applications

TL;DR: A literature review of 190 application papers, published between 2004 and 2016, by classifying them on the basis of the area of application, the identified theme, the year of publication, and so forth, shows that FAHP is used primarily in the Manufacturing, Industry and Government sectors.
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Criteria in AHP: a Systematic Review of Literature

TL;DR: The purpose of this study is to develop a systematic review of literature on the real cases that applied AHP to evaluate how the criteria are being defined and measured.
Journal ArticleDOI

A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments

TL;DR: In this article, a systematic review of methodologies and applications with recent fuzzy developments of two new MCDM utility determining approaches including step-wise weight assessment ratio analysis (SWARA) and the Weighted Aggregated Sum Product Assessment (WASPAS) is presented.
Posted Content

A Systematic Review and Meta-Analysis of Swara and Waspas Methods: Theory and Applications with Recent Fuzzy Developments

TL;DR: A systematic review of methodologies and applications with recent fuzzy developments of two new MCDM utility determining approaches including Step-wise Weight Assessment Ratio Analysis (SWARA) and the Weighted Aggregated Sum Product Assessment (WASPAS) and fuzzy extensions which discussed in recent years are presented.
References
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Book

Fuzzy sets

TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Journal ArticleDOI

Measuring the efficiency of decision making units

TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.
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.
Book

Fuzzy Set Theory - and Its Applications

TL;DR: The book updates the research agenda with chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control, fuzzy data analysis, decision making and fuzzy set models in operations research.
Journal ArticleDOI

Applications of the extent analysis method on fuzzy AHP

TL;DR: The use of triangular fuzzy numbers for pairwise comprison scale of fuzzy AHP is introduced, and the use of the extent analysis method for the synthetic extent value S i of the pairwise comparison is used.
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Which is the most innovative education institute of India in the technical category as per the Ariia 2021 ranking?

To the best of our knowledge it is one of few studies that evaluates performance of technical institutions in India.