Decision risk analysis for an interval TOPSIS method

A prospect theory-based interval dynamic reference point method for emergency decision making

“…Since Hwang and Yoon (1981) proposed TOPSIS, it has been used and studied widely in the literature (Abo-Sinna and Amer, Chen, 2011Chen, , 2015Chen and Tsao, 2008;Cheng et al, 2003;Chu, 2002aChu, , 2002bLiu, 2003, 2009;Dymova et al, 2013aDymova et al, , 2015Joshi and Kumar, 2015;Krohling and Campanharo, 2011;Lai et al, 1994;Mahdevari, 2014;Mokhtarian, 2014;Rashid,2014;Wang and Elhag, 2006;Ye, 2010). Since the DM's judgments are often vague under risk and uncertain situations, crisp numbers may not be determined precisely; therefore, fuzzy values or interval values on TOPSIS methods have been proposed and discussed to solve problems under a fuzzy environment (Abo-Sinna and Amer, 2005;Agrawal et al, 1991;Chen, 2012Chen, , 2015Chen and Lee, 2010;Chen and Tsao, 2008;Cheng et al, 2003;Chu, 2002aChu, , 2002bLiu, 2003, 2009;Dymova et al, 2013bDymova et al, , 2015Jahanshahloo, 2009;Joshi and Kumar, 2015;Krohling & Campanharo, 2011;Lai et al, 1994;Tsaur, 2011;Wang and Elhag, 2006;Yue,2014).…”

Comparison of multi criteria decision making (MCDM) methods with respect to performance of food firms listed in BIST

“…other hand it is difficult to weight attributes and keep consistent judgments in case of additional attributes (Velasquez, Hester 2013,62). Structure of TOPSIS are revealed as follows (Tsaur 2011):…”

Risk assessment of hydropower stations through an integrated fuzzy entropy-weight multiple criteria decision making method: A case study of the Xiangxi River

“…Extensive researches of MCDM have been undertaken over the past few decades (Mann and Evangelos 1989;Agrawal et al 1991;Jee and Kang 2000;Cheng et al 2003, Bahram et al 2011. Different MCDM methods require various types of value information and follow diverse optimization algorithms (Kaufmann & Gupta 1991;Kim et al 1997;Tsaur et al 2002;Chu & Lin 2003;Chen 2004;Opricovic & Tzeng 2005;Wang et al 2010;Tsaur 2011). Most of the existing researches generally lead to crisp relative closeness for each alternative, which can provide only one possible solution for a fuzzy MCDM problem, instead of reflecting the whole picture of all the possible solutions.…”