Evaluating the Consistency Indices of Pairwise Comparisons Based on Fuzzy Evaluations

Veysel Çoban; Cengiz Kahraman

doi:10.1007/978-3-030-85626-7_41

Evaluating the Consistency Indices of Pairwise Comparisons Based on Fuzzy Evaluations

Veysel Çoban^*, Cengiz Kahraman

^*Corresponding author for this work

Department of Industrial Engineering

Bilecik Seyh Edebali University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Consistency studies are an important step in making correct evaluations in the decision-making process. Consistency is a measure value that reflects whether pairwise comparison operations are done correctly. Evaluation tools used by decision makers in pairwise comparison evaluations are of great importance in achieving consistency. Crisp scales restrict decision makers’ ability to make pairwise evaluations and also remain incapable to reflect their opinions. Fuzzy scales, which give decision makers the opportunity to make a more comfortable assessment, are used as an important tool in reflecting pairwise comparisons more accurately. The success of commonly used fuzzy evaluation scales in pairwise comparison is examined in the study. Fuzzy and crisp evaluation scales are compared using different inconsistency indices, and the most appropriate scale for pairwise comparisons is determined. The study attempts to demonstrate the help of fuzzy judgements in expressing uncertainties for pairwise comparisons. The results show that the use of fuzzy terms based on linguistic expressions in the decision-making process allows decision-makers to make a more comfortable and easy evaluation.

Original language	English
Title of host publication	Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference
Editors	Cengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	342-350
Number of pages	9
ISBN (Print)	9783030856250
DOIs	https://doi.org/10.1007/978-3-030-85626-7_41
Publication status	Published - 2022
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2021 - Istanbul, Turkey Duration: 24 Aug 2021 → 26 Aug 2021

Publication series

Name	Lecture Notes in Networks and Systems
Volume	307
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2021
Country/Territory	Turkey
City	Istanbul
Period	24/08/21 → 26/08/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Interval trapezoidal fuzzy number
Interval-valued Pythagorean fuzzy linguistic number
Pairwise comparison
Triangular fuzzy number

Access to Document

10.1007/978-3-030-85626-7_41

Cite this

Çoban, V., & Kahraman, C. (2022). Evaluating the Consistency Indices of Pairwise Comparisons Based on Fuzzy Evaluations. In C. Kahraman, S. Cebi, S. Cevik Onar, B. Oztaysi, A. C. Tolga, & I. U. Sari (Eds.), Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference (pp. 342-350). (Lecture Notes in Networks and Systems; Vol. 307). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-85626-7_41

Çoban, Veysel ; Kahraman, Cengiz. / Evaluating the Consistency Indices of Pairwise Comparisons Based on Fuzzy Evaluations. Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference. editor / Cengiz Kahraman ; Selcuk Cebi ; Sezi Cevik Onar ; Basar Oztaysi ; A. Cagri Tolga ; Irem Ucal Sari. Springer Science and Business Media Deutschland GmbH, 2022. pp. 342-350 (Lecture Notes in Networks and Systems).

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Çoban, V & Kahraman, C 2022, Evaluating the Consistency Indices of Pairwise Comparisons Based on Fuzzy Evaluations. in C Kahraman, S Cebi, S Cevik Onar, B Oztaysi, AC Tolga & IU Sari (eds), Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference. Lecture Notes in Networks and Systems, vol. 307, Springer Science and Business Media Deutschland GmbH, pp. 342-350, International Conference on Intelligent and Fuzzy Systems, INFUS 2021, Istanbul, Turkey, 24/08/21. https://doi.org/10.1007/978-3-030-85626-7_41

Evaluating the Consistency Indices of Pairwise Comparisons Based on Fuzzy Evaluations. / Çoban, Veysel; Kahraman, Cengiz.
Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference. ed. / Cengiz Kahraman; Selcuk Cebi; Sezi Cevik Onar; Basar Oztaysi; A. Cagri Tolga; Irem Ucal Sari. Springer Science and Business Media Deutschland GmbH, 2022. p. 342-350 (Lecture Notes in Networks and Systems; Vol. 307).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Çoban V, Kahraman C. Evaluating the Consistency Indices of Pairwise Comparisons Based on Fuzzy Evaluations. In Kahraman C, Cebi S, Cevik Onar S, Oztaysi B, Tolga AC, Sari IU, editors, Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference. Springer Science and Business Media Deutschland GmbH. 2022. p. 342-350. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-030-85626-7_41

Evaluating the Consistency Indices of Pairwise Comparisons Based on Fuzzy Evaluations

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this