A novel Multiple Attribute Group Decision Making methodology based on Intuitionistic Fuzzy TOPSIS

Beyzanur Cayir Ervural; S. Ceren Oner; Veysel Coban; Cengiz Kahraman

doi:10.1109/FUZZ-IEEE.2015.7338119

A novel Multiple Attribute Group Decision Making methodology based on Intuitionistic Fuzzy TOPSIS

Beyzanur Cayir Ervural, S. Ceren Oner, Veysel Coban, Cengiz Kahraman

Department of Industrial Engineering

Istanbul Technical University

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

9 Citations (Scopus)

Abstract

Intuitionistic Fuzzy TOPSIS (IFT) is an effective decision making technique for fuzziness nature of linguistic assessments. This paper proposes a novel methodology for Multiple Attribute Group Decision Making (MAGDM) problems in intuitionistic fuzzy environment. The proposed methodology is based on utilizing the hesitancy degree to determine decision makers' weights distinctively and, a non-linear programming (NLP) model additionally is formed for assigning weights to the related criteria in fuzzy environment. The developed approach is precise and practical for solving MCDM problems. Finally, to show the applicability of the proposed method, an illustrative example is used at the end of this paper.

Original language	English
Title of host publication	FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems
Editors	Adnan Yazici, Nikhil R. Pal, Hisao Ishibuchi, Bulent Tutmez, Chin-Teng Lin, Joao M. C. Sousa, Uzay Kaymak, Trevor Martin
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467374286
DOIs	https://doi.org/10.1109/FUZZ-IEEE.2015.7338119
Publication status	Published - 25 Nov 2015
Event	IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015 - Istanbul, Turkey Duration: 2 Aug 2015 → 5 Aug 2015

Publication series

Name	IEEE International Conference on Fuzzy Systems
Volume	2015-November
ISSN (Print)	1098-7584

Conference

Conference	IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015
Country/Territory	Turkey
City	Istanbul
Period	2/08/15 → 5/08/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

group decision making
hesitancy
intuitionistic fuzzy sets
Multiple attribute
non-linear programming
TOPSIS

Access to Document

10.1109/FUZZ-IEEE.2015.7338119

Cite this

Ervural, B. C., Oner, S. C., Coban, V., & Kahraman, C. (2015). A novel Multiple Attribute Group Decision Making methodology based on Intuitionistic Fuzzy TOPSIS. In A. Yazici, N. R. Pal, H. Ishibuchi, B. Tutmez, C.-T. Lin, J. M. C. Sousa, U. Kaymak, & T. Martin (Eds.), FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems Article 7338119 (IEEE International Conference on Fuzzy Systems; Vol. 2015-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZ-IEEE.2015.7338119

Ervural, Beyzanur Cayir ; Oner, S. Ceren ; Coban, Veysel et al. / A novel Multiple Attribute Group Decision Making methodology based on Intuitionistic Fuzzy TOPSIS. FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems. editor / Adnan Yazici ; Nikhil R. Pal ; Hisao Ishibuchi ; Bulent Tutmez ; Chin-Teng Lin ; Joao M. C. Sousa ; Uzay Kaymak ; Trevor Martin. Institute of Electrical and Electronics Engineers Inc., 2015. (IEEE International Conference on Fuzzy Systems).

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abstract = "Intuitionistic Fuzzy TOPSIS (IFT) is an effective decision making technique for fuzziness nature of linguistic assessments. This paper proposes a novel methodology for Multiple Attribute Group Decision Making (MAGDM) problems in intuitionistic fuzzy environment. The proposed methodology is based on utilizing the hesitancy degree to determine decision makers' weights distinctively and, a non-linear programming (NLP) model additionally is formed for assigning weights to the related criteria in fuzzy environment. The developed approach is precise and practical for solving MCDM problems. Finally, to show the applicability of the proposed method, an illustrative example is used at the end of this paper.",

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Ervural, BC, Oner, SC, Coban, V & Kahraman, C 2015, A novel Multiple Attribute Group Decision Making methodology based on Intuitionistic Fuzzy TOPSIS. in A Yazici, NR Pal, H Ishibuchi, B Tutmez, C-T Lin, JMC Sousa, U Kaymak & T Martin (eds), FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems., 7338119, IEEE International Conference on Fuzzy Systems, vol. 2015-November, Institute of Electrical and Electronics Engineers Inc., IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015, Istanbul, Turkey, 2/08/15. https://doi.org/10.1109/FUZZ-IEEE.2015.7338119

A novel Multiple Attribute Group Decision Making methodology based on Intuitionistic Fuzzy TOPSIS. / Ervural, Beyzanur Cayir; Oner, S. Ceren; Coban, Veysel et al.
FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems. ed. / Adnan Yazici; Nikhil R. Pal; Hisao Ishibuchi; Bulent Tutmez; Chin-Teng Lin; Joao M. C. Sousa; Uzay Kaymak; Trevor Martin. Institute of Electrical and Electronics Engineers Inc., 2015. 7338119 (IEEE International Conference on Fuzzy Systems; Vol. 2015-November).

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

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T1 - A novel Multiple Attribute Group Decision Making methodology based on Intuitionistic Fuzzy TOPSIS

AU - Ervural, Beyzanur Cayir

AU - Oner, S. Ceren

AU - Coban, Veysel

AU - Kahraman, Cengiz

PY - 2015/11/25

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N2 - Intuitionistic Fuzzy TOPSIS (IFT) is an effective decision making technique for fuzziness nature of linguistic assessments. This paper proposes a novel methodology for Multiple Attribute Group Decision Making (MAGDM) problems in intuitionistic fuzzy environment. The proposed methodology is based on utilizing the hesitancy degree to determine decision makers' weights distinctively and, a non-linear programming (NLP) model additionally is formed for assigning weights to the related criteria in fuzzy environment. The developed approach is precise and practical for solving MCDM problems. Finally, to show the applicability of the proposed method, an illustrative example is used at the end of this paper.

AB - Intuitionistic Fuzzy TOPSIS (IFT) is an effective decision making technique for fuzziness nature of linguistic assessments. This paper proposes a novel methodology for Multiple Attribute Group Decision Making (MAGDM) problems in intuitionistic fuzzy environment. The proposed methodology is based on utilizing the hesitancy degree to determine decision makers' weights distinctively and, a non-linear programming (NLP) model additionally is formed for assigning weights to the related criteria in fuzzy environment. The developed approach is precise and practical for solving MCDM problems. Finally, to show the applicability of the proposed method, an illustrative example is used at the end of this paper.

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A2 - Sousa, Joao M. C.

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A2 - Martin, Trevor

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Ervural BC, Oner SC, Coban V, Kahraman C. A novel Multiple Attribute Group Decision Making methodology based on Intuitionistic Fuzzy TOPSIS. In Yazici A, Pal NR, Ishibuchi H, Tutmez B, Lin CT, Sousa JMC, Kaymak U, Martin T, editors, FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems. Institute of Electrical and Electronics Engineers Inc. 2015. 7338119. (IEEE International Conference on Fuzzy Systems). doi: 10.1109/FUZZ-IEEE.2015.7338119

A novel Multiple Attribute Group Decision Making methodology based on Intuitionistic Fuzzy TOPSIS

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Keywords

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