A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods

By Chia-chi Sun. Expert systems with applications, 2010

802 citations recorded by the source corpus.

Subfields: Ecological Modeling, Management Science and Operations Research, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/d94dafd33098415dbc84ec873b1255c753fc818d

How researchers see this paper

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

In Ecological Modeling

In Management Science and Operations Research

In Safety, Risk, Reliability and Quality

Citations in the corpus

A New Fuzzy MARCOS Method for Road Traffic Risk Analysis (2020, methodology): “The operations of TFN ˜ A 1 = ( l 1 , m 1 , u 1 ) and ˜ A 2 = ( l 2 , m 2 , u 2 ) are as follow [17,18] Addition: ˜ A = ( l 1 , m 1 , u 1 ) Multiplication: Subtraction: Division: Reciprocal: The following section provides a brief overview of the crisp MARCOS method deﬁned by Stevi´c et al. [19]:…”
A Fuzzy MCDM Approach for Green Supplier Selection from the Economic and Environmental Aspects (2016, methodology): “Fuzzy AHP has been developed to solve this problem [13].”
A review of fuzzy AHP methods for decision-making with subjective judgements (2020, methodology): “It has been widely used to calculate fuzzy weights, e.g. Yang et al. (2008), Sun (2010), Yu et al. (2012), Kar (2014) and Görener et al. (2017).”
Extension of the TOPSIS method for decision making problems under interval-valued intuitionistic fuzzy environment (2011, methodology): “Sun [12] developed an evaluation model based on the fuzzy analytic hierarchy process (AHP) and fuzzy TOPSIS to help the industrial practitioners for the performance evaluations in fuzzy environment.”
Fuzzy AHP-TOPSIS approaches to prioritizing solutions for reverse logistics barriers (2018, methodology): “Analytic hierarchy process (AHP) was first presented by Saaty (1980), it was multiple criteria decision-making methods which are one of the most extensively used and powerful methods to solve complex decision problems (Sun, 2010).”
Criteria in AHP: A Systematic Review of Literature (2015, neutral): “[26] 1 2010 Ranking Electronics industry External expert team Fuzzy (9) AIP FAHP - FTOPSIS [27] 1 2011 Ranking Education Literature and experts AHP (9) AIJ AHP [28] 1 2011 Ranking Public Administration Literature Fuzzy (9) AIJ# FAHP -”