Fuzzy multi-attribute equipment selection based on information axiom

By Osman Kulak, M. B. Durmusoglu, C. Kahraman. 2005

219 citations recorded by the source corpus.

Subfields: Management of Technology and Innovation, Management Science and Operations Research, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/744584b108a4aaaafe69891df95ac319827b58e2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management of Technology and Innovation

1. Metin Dagdeviren
2. Ihsan Yüksel
3. C. Kahraman
4. Goran Ćirović
5. Dragan Pamucar

In Management Science and Operations Research

1. Metin Dagdeviren
2. Ihsan Yüksel
3. C. Kahraman
4. Zeshui Xu
5. Muhammet Gul
6. Chia-chi Sun
7. Ihsan Kaya
8. Huchang Liao

In Strategy and Management

1. Metin Dagdeviren
2. Ihsan Yüksel
3. C. Kahraman

Citations in the corpus

• Applications of Fuzzy Sets in Industrial Engineering: A Topical Classification (2006, background): “Selection of the convenient equipment under determined criteria (such as costs and technical characteristics) using the information axiom is realized by Kulak et al. (2005). The unweighted and weighted multi-attribute axiomatic design approaches developed in this paper include both crisp and fuzzy c”
• Decision making in equipment selection: an integrated approach with AHP and PROMETHEE (2008, background): “ Kulak et al. (2005) develops unweighted and weighted multi-attribute axiomatic design (AD) approaches for fuzzy multi-attribute equipment selection.”
• Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management (2008, background): “The use of fuzzy set theory [51] allows the decision makers to incorporate unquantifiable information, incomplete information, nonobtainable information and partially ignorant facts into decision model [30].”