Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey

By C. Kahraman, Ufuk Cebeci, Da Ruan. 2004

853 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Organizational Behavior and Human Resource Management, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ac75f231ada5ad39f29a0e5304fc4e54e54d90cb

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In Management Science and Operations Research

In Organizational Behavior and Human Resource Management

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Citations in the corpus

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 Multicriteria Decision-Making: A Literature Review (2015, neutral): “Publication Year Cited times Chang [128] 1996 Chan and Kumar [143] 2007 Tsaur et al. [144] 2002 Kahraman et al.[145] 2006 Kahraman et al. [146] 2004 Tzeng et al. [147] 2007 Deng [148] 1999 Kahraman et al. [149] 2003 Cheng [150] 1997 Zhu and Chow [151] 1997 Leung and Cao [152] 2000 Kulak and…”
Fuzzy AHP approach for supplier selection in a washing machine company (2011, methodology): “Same procedure is used to select the best catering firm providing the most customer satisfaction by Kahraman, Cebeci, and Ruan (2004).”
Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic h (2005, methodology): “[10] provided an analytical tool to select the best catering firm providing the most customer satisfaction.”
Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP (2008, methodology): “Of the many fuzzy AHP methods developed by various authors, most propose systematic approaches to the alternative selection and justification problem using the concepts of fuzzy set theory and hierarchical structure analysis [2,4–7,11,14,16,29,30,33,34].”
A fuzzy AHP approach to personnel selection problem (2009, neutral): “[3] [12].”
Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management (2008, methodology): “In addition, modeling using triangular fuzzy numbers has proven to be an effective way for formulating decision problems where the information available is subjective and imprecise [10,11,25,52].”
A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping (2014, background): “Finally, an FAHP is able to reflect human thought in that it uses approximate information and uncertainty to generate decisions (Kahraman et al., 2004).”
Fuzzy Analytic Hierarchy Process and its Application (2008, methodology): “ 2.7 A Numerical Example ( Kahraman et al., 2004 )”
Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS (2009, background): “Kahraman, Cebeci, and Ruan (2004) realized multiple criteria comparisons of catering companies using the fuzzy AHP method.”
A Fuzzy AHP Approach to Evaluating Machine Tool Alternatives (2006, methodology): “Kahraman, Cebeci, and Ruan (2004) developed an analytical tool using fuzzy AHP to select the best catering firm providing the most customer satisfaction.”
COMPARATIVE ANALYSIS OF AHP AND FUZZY AHP M ODELS FOR M ULTICRITERIA INVENTORY CLASSIFICATION (2011, methodology): “…et al., 2004; Kabir & Hasin, 2011b): Step 1: The value of fuzzy synthetic extent with respect to i th object is defined as= ∑ ⊗ [∑ ∑ ] To obtain ∑ M gijmj=1 perform the fuzzy addition operation of m extent analysis values for a particular matrix such that∑ Mgijmj=1 = ∑ aj, ∑ bj, ∑ cjmj=1mj=1mj=1…”