A new fuzzy TOPSIS method based on left and right scores: An application for determining an industrial zone for dairy products factory

A qualitative multi-attribute model for the selection of the private hydropower plant investments in Turkey: By foundation of the search results clustering engine (Carrot2), hydropower plant clustering, DEXi and DEXiTree

“…The attributes (the basic attributes: see Chapter 2.7 Attribute in Bohanec, 2013) were identified and selected according to some selected key terms based on some previous studies (Chou, 2007;Hossain & Das, 2010;Lin & Juan, 2009;Mokhtarian & Hadi-Vencheh, 2012;Saracoglu, 2013;Weaver, 2012) and by the expert opinion of the EDM. The unstructured selected attributes, which were described by the key terms were total energy generation, river basin, community attitude, transportation, security conditions, terrorism conditions, protected areas, substation conditions, business climate, climate change, ambient temperature change predictions, precipitation change predictions, electricity demand, transmission system network, distribution lines network, credit availability, cost, labor, availability of workforce, availability of skilled labor, natural disasters/hazards, earthquakes and zones, free travel, geopolitical uncertainty, war conditions, social chaos, air transportation, railway transportation, road transportation, inland waterway transportation, oceansea transportation, technological infrastructure, and scientific infrastructure (Slide 20).…”

Supplier selection using a clustering method based on a new distance for interval type-2 fuzzy sets: A case study

“…Supply chain management spans all the movement and storage of raw materials, work-in-process inventory, and finished goods from the point of origin to the point of consumption. To select suppliers, researchers have proposed various methods such as data envelopment analysis (DEA) (Hadi-Vencheh and Niazi-Motlagh 2011), analytical hierarchy process (AHP) (Perić et al 2013), fuzzy analytical hierarchy process (FAHP) (Kilincci andOnal 2011, Chamodrakas et al 2010), analytic network process (ANP) (Lin 2009), technique for order performance by similarity to ideal solution (TOPSIS) (Mokhtarian and Hadi-Vencheh 2012), game theory (Agha Mohammad Ali Kermani et al 2012), potential support vector machine (P-SVM) (Guo et al 2009), preference programming (PP), fuzzy logic (Florez-Lopez 2007), fuzzy case-based reasoning (CBR) (Faez et al 2009), smimulated annealing (Che 2012), etc.. Aissaoui et al (2007) gave a comprehensive literature review of the supplier selection and order lot-sizing modeling. The review covers the entire purchasing process, considers both parts and services outsourcing activities, and covers internet-based procurement environments.…”

An interval type-2 fuzzy extension of the TOPSIS method using alpha cuts

“…However, sometimes it is diffi- 87 cult to determine precisely the real values of the rating of alterna- 88 tives with respect to local criteria, and as a result, these ratings are 89 presented by fuzzy values. Some papers have been devoted to 90 fuzzy extensions of the TOPSIS method in the literature, but these 91 extensions are not complete since the ideal solutions are usually 92 presented by real values (not by fuzzy values) or by fuzzy values 93 which are not attainable in the decision matrix [1,6,7,26,37,59]. 94 In most of papers [1,4,8,13,[17][18][19]30,39,48 the criterion x j 2 X for the fuzzy concept ''excellence''.…”