Multicriteria decision-making combining fuzzy set theory, ideal and anti-ideal points for location site selection

Garage location selection for residential house by WASPAS-SVNS method

“…Dheena and Mohanraj (2011) presented solution of the distribution center location problem. Elevli (2014) performed an evaluation of locations for the logistics center at Samsun (Turkey).…”

A group decision-making tool for the application of membrane technologies in different water reuse scenarios

“…1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 4 Fuzzy logic can be used as an efficient way of modelling uncertainty, imprecision, and qualitative information (Bellman and Zadeh, 1970;Chen and Klein, 1997). In addition, Fuzzy sets provide the flexibility required to represent and handle the uncertainty and imprecision which result from lack of knowledge and ill-defined information (Yeh & Deng, 2004;Dheena and Mohanraj, 2011). In the last decade, several studies applied fuzzy logic theory to overcome uncertainty and subjectivity in multi-criteria decision making (Chen & Tzeng, 2004;Yeh & Deng, 2004;Dheena and Mohanraj, 2011).…”

“…Another method which has been shown to be an efficient technique to obtain rankings from engineering experts is Multi-Criteria Multi-Expert Decision Making (MCMEDM) within a fuzzy environment (Chen, 2000;Dheena and Mohanraj, 2011) . 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 4 Fuzzy logic can be used as an efficient way of modelling uncertainty, imprecision, and qualitative information (Bellman and Zadeh, 1970;Chen and Klein, 1997).…”

“…In addition, Fuzzy sets provide the flexibility required to represent and handle the uncertainty and imprecision which result from lack of knowledge and ill-defined information (Yeh & Deng, 2004;Dheena and Mohanraj, 2011). In the last decade, several studies applied fuzzy logic theory to overcome uncertainty and subjectivity in multi-criteria decision making (Chen & Tzeng, 2004;Yeh & Deng, 2004;Dheena and Mohanraj, 2011). Li (1999) developed a model to overcome the problem of multi-judges and multi-criteria decision making where the performance of alternatives and the importance of criteria are imprecisely defined and represented by fuzzy sets.…”

Multiple criteria decision-making KEMIRA-M method for solution of location alternatives

“…AHP and SAW methods were applied for selection of rural building sites by Jeong, García-Moruno, and Hernández-Blanco (2013). Dheena and Mohanraj (2011) used Ordered Weighted Averaging (OWA) operators with maximal entropy for aggregating fuzzy data. Ekmekçioğlu, Kaya, and Kahraman (2010) proposed AHP and modified fuzzy TOPSIS methodology for selection the site for municipal solid waste.…”