Fuzzy group decision-making for facility location selection

By C. Kahraman, Da Ruan, Ibrahim Dogan. Information Sciences, 2003

613 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Science and Operations Research, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/f14eb4ab0d317b13fd89614bb6145fabb43c0719

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In Control and Systems Engineering

In Management Science and Operations Research

In Organizational Behavior and Human Resource Management

Citations in the corpus

A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations (2007, background): “In real GDM problems with fuzzy preference relations some properties about the preferences expressed by the experts are usually assumed desirable to avoid contradictions in their opinions, that is, to avoid inconsistent opinions.”
A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty (2011, methodology): “[19] used four fuzzy multiattribute group decisionmaking approaches in evaluating facility locations.”
A statistical comparative study of different similarity measures of consensus in group decision making (2013, background): “Among the different representation formats that experts may use to express their opinions, fuzzy preference relations [8, 9, 29, 34, 39, 46] are one of the most used because of their utility and usability as a tool for modelling experts’ preferences and in their aggregation into group ones in decisi”
A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes (2008, background): “Sixth, in Kahraman et al. (2003) and the above-mentioned studies, the aggregating process of preferences of individual decision-makers in GDM problems did not explicitly consider the degree of importance of individual decision- makers.”
A fuzzy optimization model for QFD planning process using analytic network approach (2006, methodology): “Using the same approach , Kahraman et al. (2003, 2004) also used this approach in the evaluation of the catering firms in Turkey and in the selection of the best location for a facility respectively.”
Fuzzy analytic hierarchy process with interval type-2 fuzzy sets (2014, background): “…Department, Istanbul Technical University, 34367, Macka, Istanbul, Turkey b Industrial Engineering Department, Izmir University, 35350 Uckuyular, _Izmir, Turkey a r t i c l e i n f o a b s t r a c t Article history: Received 15 November 2012 Received in revised form 3 January 2014 Accepted 1…”
Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP (2008, methodology): “[30].”
Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management (2008, methodology): “[23,25] also used this approach in the selection of the best location for a facility and in the evaluation of catering firms in Turkey.”
The design of robust value-creating supply chain networks (2010, methodology): “To conclude this section on non-deterministic models, note that fuzzy sets were used by some authors to model facility location selection problems (Sule, 2001; Kahraman et al., 2003) and SCN design problems (Chen and Lee, 2006).”