Interval type-2 fuzzy multi criteria decision making based on intuitive multiple centroid

Ku Muhammad Naim Ku Khalif; Alexander Gegov; Ahmad Syafadhli Abu Bakar; Noor Zuraidin Mohd Safar

doi:10.1007/978-3-030-36056-6_21

Interval type-2 fuzzy multi criteria decision making based on intuitive multiple centroid

Ku Muhammad Naim Ku Khalif^*, Alexander Gegov, Ahmad Syafadhli Abu Bakar, Noor Zuraidin Mohd Safar

^*Corresponding author for this work

School of Computing

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

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Abstract

This paper aims to introduce fuzzy multi criteria decision making model using consistent fuzzy preference relations and fuzzy technique for order performance by similarity to ideal solution sets that is incorporated with intuitive multiple centroid defuzzification in the context of interval type-2 fuzzy. The implementation of interval type-2 fuzzy sets is taken into consideration, where it has more authority to provide more degree of freedom in representing the uncertainty of human based decision making problems. It also highlights the combination of interval type-2 fuzzy sets with multi criteria decision making techniques allow the use of fuzzy linguistic by considering the need of human intuition in decision making problems under uncertain environment. Numerical example is included to illustrate the proposed model. The proposed model is importantly needed to validate using sensitivity analysis in order to analyse the quality and robustness of the model in giving the most promising alternative with respect to resources. The results show that it is highly practical to use the proposed model in decision making evaluation.

Original language	English
Title of host publication	Recent Advances on Soft Computing and Data Mining - Proceedings of the 4th International Conference on Soft Computing and Data Mining, SCDM 2020
Editors	Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy
Publisher	Springer
Pages	211-221
Number of pages	11
ISBN (Electronic)	978-3-030-36056-6
ISBN (Print)	978-3-030-36055-9
DOIs	https://doi.org/10.1007/978-3-030-36056-6_21
Publication status	Published - 1 Jan 2020
Event	4th International Conference on Soft Computing and Data Mining - Melaka, Malaysia Duration: 22 Jan 2020 → 23 Jan 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Publisher	Springer
Volume	978
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	4th International Conference on Soft Computing and Data Mining
Abbreviated title	SCDM 2020
Country/Territory	Malaysia
City	Melaka
Period	22/01/20 → 23/01/20

Keywords

Consistent fuzzy preference relations
Fuzzy multi criteria decision making
Fuzzy TOPSIS
Interval type-2 fuzzy sets
Intuitive multiple centroid
Uncertainty

Access to Document

10.1007/978-3-030-36056-6_21

KU_PAPER
This is a post-peer-review, pre-copyedit version of an article published in Recent Advances on Soft Computing and Data Mining. SCDM 2020. Advances in Intelligent Systems and Computing, vol 978. The final authenticated version is available online at: http://dx.doi.org//10.1007/978-3-030-36056-6_21.
Accepted author manuscript (Post-print), 675 KB

Cite this

Khalif, K. M. N. K., Gegov, A., Bakar, A. S. A., & Safar, N. Z. M. (2020). Interval type-2 fuzzy multi criteria decision making based on intuitive multiple centroid. In R. Ghazali, N. M. Nawi, M. M. Deris, & J. H. Abawajy (Eds.), Recent Advances on Soft Computing and Data Mining - Proceedings of the 4th International Conference on Soft Computing and Data Mining, SCDM 2020 (pp. 211-221). (Advances in Intelligent Systems and Computing; Vol. 978). Springer. https://doi.org/10.1007/978-3-030-36056-6_21

Khalif, Ku Muhammad Naim Ku ; Gegov, Alexander ; Bakar, Ahmad Syafadhli Abu et al. / Interval type-2 fuzzy multi criteria decision making based on intuitive multiple centroid. Recent Advances on Soft Computing and Data Mining - Proceedings of the 4th International Conference on Soft Computing and Data Mining, SCDM 2020. editor / Rozaida Ghazali ; Nazri Mohd Nawi ; Mustafa Mat Deris ; Jemal H. Abawajy. Springer, 2020. pp. 211-221 (Advances in Intelligent Systems and Computing).

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title = "Interval type-2 fuzzy multi criteria decision making based on intuitive multiple centroid",

abstract = "This paper aims to introduce fuzzy multi criteria decision making model using consistent fuzzy preference relations and fuzzy technique for order performance by similarity to ideal solution sets that is incorporated with intuitive multiple centroid defuzzification in the context of interval type-2 fuzzy. The implementation of interval type-2 fuzzy sets is taken into consideration, where it has more authority to provide more degree of freedom in representing the uncertainty of human based decision making problems. It also highlights the combination of interval type-2 fuzzy sets with multi criteria decision making techniques allow the use of fuzzy linguistic by considering the need of human intuition in decision making problems under uncertain environment. Numerical example is included to illustrate the proposed model. The proposed model is importantly needed to validate using sensitivity analysis in order to analyse the quality and robustness of the model in giving the most promising alternative with respect to resources. The results show that it is highly practical to use the proposed model in decision making evaluation.",

keywords = "Consistent fuzzy preference relations, Fuzzy multi criteria decision making, Fuzzy TOPSIS, Interval type-2 fuzzy sets, Intuitive multiple centroid, Uncertainty",

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Khalif, KMNK, Gegov, A, Bakar, ASA & Safar, NZM 2020, Interval type-2 fuzzy multi criteria decision making based on intuitive multiple centroid. in R Ghazali, NM Nawi, MM Deris & JH Abawajy (eds), Recent Advances on Soft Computing and Data Mining - Proceedings of the 4th International Conference on Soft Computing and Data Mining, SCDM 2020. Advances in Intelligent Systems and Computing, vol. 978, Springer, pp. 211-221, 4th International Conference on Soft Computing and Data Mining, Melaka, Malaysia, 22/01/20. https://doi.org/10.1007/978-3-030-36056-6_21

Interval type-2 fuzzy multi criteria decision making based on intuitive multiple centroid. / Khalif, Ku Muhammad Naim Ku; Gegov, Alexander; Bakar, Ahmad Syafadhli Abu et al.
Recent Advances on Soft Computing and Data Mining - Proceedings of the 4th International Conference on Soft Computing and Data Mining, SCDM 2020. ed. / Rozaida Ghazali; Nazri Mohd Nawi; Mustafa Mat Deris; Jemal H. Abawajy. Springer, 2020. p. 211-221 (Advances in Intelligent Systems and Computing; Vol. 978).

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

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T1 - Interval type-2 fuzzy multi criteria decision making based on intuitive multiple centroid

AU - Khalif, Ku Muhammad Naim Ku

AU - Gegov, Alexander

AU - Bakar, Ahmad Syafadhli Abu

AU - Safar, Noor Zuraidin Mohd

PY - 2020/1/1

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N2 - This paper aims to introduce fuzzy multi criteria decision making model using consistent fuzzy preference relations and fuzzy technique for order performance by similarity to ideal solution sets that is incorporated with intuitive multiple centroid defuzzification in the context of interval type-2 fuzzy. The implementation of interval type-2 fuzzy sets is taken into consideration, where it has more authority to provide more degree of freedom in representing the uncertainty of human based decision making problems. It also highlights the combination of interval type-2 fuzzy sets with multi criteria decision making techniques allow the use of fuzzy linguistic by considering the need of human intuition in decision making problems under uncertain environment. Numerical example is included to illustrate the proposed model. The proposed model is importantly needed to validate using sensitivity analysis in order to analyse the quality and robustness of the model in giving the most promising alternative with respect to resources. The results show that it is highly practical to use the proposed model in decision making evaluation.

AB - This paper aims to introduce fuzzy multi criteria decision making model using consistent fuzzy preference relations and fuzzy technique for order performance by similarity to ideal solution sets that is incorporated with intuitive multiple centroid defuzzification in the context of interval type-2 fuzzy. The implementation of interval type-2 fuzzy sets is taken into consideration, where it has more authority to provide more degree of freedom in representing the uncertainty of human based decision making problems. It also highlights the combination of interval type-2 fuzzy sets with multi criteria decision making techniques allow the use of fuzzy linguistic by considering the need of human intuition in decision making problems under uncertain environment. Numerical example is included to illustrate the proposed model. The proposed model is importantly needed to validate using sensitivity analysis in order to analyse the quality and robustness of the model in giving the most promising alternative with respect to resources. The results show that it is highly practical to use the proposed model in decision making evaluation.

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KW - Uncertainty

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M3 - Conference contribution

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SN - 978-3-030-36055-9

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A2 - Nawi, Nazri Mohd

A2 - Deris, Mustafa Mat

A2 - Abawajy, Jemal H.

PB - Springer

T2 - 4th International Conference on Soft Computing and Data Mining

Y2 - 22 January 2020 through 23 January 2020

ER -

Khalif KMNK, Gegov A, Bakar ASA, Safar NZM. Interval type-2 fuzzy multi criteria decision making based on intuitive multiple centroid. In Ghazali R, Nawi NM, Deris MM, Abawajy JH, editors, Recent Advances on Soft Computing and Data Mining - Proceedings of the 4th International Conference on Soft Computing and Data Mining, SCDM 2020. Springer. 2020. p. 211-221. (Advances in Intelligent Systems and Computing). Epub 2019 Dec 5. doi: 10.1007/978-3-030-36056-6_21

Interval type-2 fuzzy multi criteria decision making based on intuitive multiple centroid

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Keywords

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