A fuzzy multicriteria methodology for selection among energy alternatives

By C. Kahraman, Ihsan Kaya. Expert systems with applications, 2010

349 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Science and Operations Research, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/24f145cc06729a4a318b37199f8485da4b7ddfdc

How researchers see this paper

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

In Electrical and Electronic Engineering

1. Zeshui Xu
2. Melike Erdoğan
3. Ihsan Kaya
4. Ali Emrouznejad
5. Marianna Marra
6. Xiaolu Zhang
7. Meimei Xia
8. Paula F. V. Ferreira

In Management Science and Operations Research

1. Zeshui Xu
2. Xiaolu Zhang
3. Meimei Xia
4. C. Kahraman
5. Ihsan Kaya
6. Rimal Abu-Taha
7. Melike Erdoğan
8. Tijen Ertay

In Mechanical Engineering

1. Zeshui Xu
2. Ali Emrouznejad
3. Marianna Marra
4. Xiaolu Zhang
5. Melike Erdoğan
6. Meimei Xia
7. Ihsan Kaya
8. F. Ribeiro

Citations in the corpus

• Evaluation of renewable energy alternatives using MACBETH and fuzzy AHP multicriteria methods: the case of Turkey (2013, methodology): “Kahraman and Kaya (2010a) suggested a fuzzy multicriteria decision-making methodology based on Zeng et al.”
• Fuzzy Multicriteria Decision-Making: A Literature Review (2015, neutral): “However, in cases where decision makers cannot express the evaluations by crisp numbers, fuzzy logic can be used which provides a mathematical strength to capture the uncertainties associated with human cognitive process [125].”
• Multi-criteria applications in renewable energy analysis: A literature review (2011, background): “Thus, many parameters cannot be evaluated accurately and the data of different subjective criteria and their weights are usually expressed in linguistic terms by the decision maker [36].”
• The inclusion of social aspects in power planning (2011, methodology): “Kahraman and Kaya [20] Literature review 4 Comparison of RES technologies MCDA (Fuzzy AHP) Karakosta et al.”
• An integrated multi-criteria decision-making methodology based on type-2 fuzzy sets for selection among energy alternatives in Turkey (2015, methodology): “In this case, the fuzzy set theory (FST) that was introduced by Zadeh [55] is used to resolve the uncertainty [21].”
• A Fuzzy AHP Approach for Supplier Selection Problem: A Case Study in a Gear Motor Company (2013, neutral): “Although there are many applications of F-AHP in various fields including; personnel selection [38], weapon selection [39], energy alternatives selection [40], job selection [41] and performance evaluation systems [42], [43] only the recent Fuzzy AHP applications for supplier selection problems will”
• Distance and similarity measures for hesitant fuzzy sets (2011, methodology): “Suppose that there are five alternatives (energy projects) Ai (i = 1,2,3,4,5) to be invested, and four attributes to be considered: P1: technological; P2: environmental; P3: socio-political; P4: economic (more details about them can be found in [14]).”