A Multi-attribute Large Group Decision-making Method Based on Interval-valued Pythagorean Fuzzy Number

You Xinshang, Zhou Zhe
Proceedings of 2024 International Conference on Machine Learning and Intelligent Computing, PMLR 245:430-442, 2024.

Abstract

Firstly, a large group clustering algorithm based on data similarity is proposed, which can set different thresholds to cluster the decision results of expert groups. Secondly, the interval-valued pythagorean fuzzy number (IVPFN) hesitancy accuracy function and hesitancy score function are proposed. And based on the consideration of the distance between centroids and rectangular area in the geometric meaning of IVPFN, a calculation formula is proposed to distinguish different IVPFNs. Thirdly, use the above formula to construct a weight calculation model for evaluation criteria with adjustment coefficients. The decision matrix is weighted and its relative distance from the positive and negative ideal solutions is calculated to produce the final ranking. Finally, the cultural tourism project decision-making problem is analyzed as an arithmetic example and compared with the methods in the literature of other related fields to illustrate the rationality and scientificity of this paper.

Cite this Paper

BibTeX
@InProceedings{pmlr-v245-xinshang24a, title = {A Multi-attribute Large Group Decision-making Method Based on Interval-valued Pythagorean Fuzzy Number}, author = {Xinshang, You and Zhe, Zhou}, booktitle = {Proceedings of 2024 International Conference on Machine Learning and Intelligent Computing}, pages = {430--442}, year = {2024}, editor = {Nianyin, Zeng and Pachori, Ram Bilas}, volume = {245}, series = {Proceedings of Machine Learning Research}, month = {26--28 Apr}, publisher = {PMLR}, pdf = {https://raw.githubusercontent.com/mlresearch/v245/main/assets/xinshang24a/xinshang24a.pdf}, url = {https://proceedings.mlr.press/v245/xinshang24a.html}, abstract = {Firstly, a large group clustering algorithm based on data similarity is proposed, which can set different thresholds to cluster the decision results of expert groups. Secondly, the interval-valued pythagorean fuzzy number (IVPFN) hesitancy accuracy function and hesitancy score function are proposed. And based on the consideration of the distance between centroids and rectangular area in the geometric meaning of IVPFN, a calculation formula is proposed to distinguish different IVPFNs. Thirdly, use the above formula to construct a weight calculation model for evaluation criteria with adjustment coefficients. The decision matrix is weighted and its relative distance from the positive and negative ideal solutions is calculated to produce the final ranking. Finally, the cultural tourism project decision-making problem is analyzed as an arithmetic example and compared with the methods in the literature of other related fields to illustrate the rationality and scientificity of this paper.} }
Endnote
%0 Conference Paper %T A Multi-attribute Large Group Decision-making Method Based on Interval-valued Pythagorean Fuzzy Number %A You Xinshang %A Zhou Zhe %B Proceedings of 2024 International Conference on Machine Learning and Intelligent Computing %C Proceedings of Machine Learning Research %D 2024 %E Zeng Nianyin %E Ram Bilas Pachori %F pmlr-v245-xinshang24a %I PMLR %P 430--442 %U https://proceedings.mlr.press/v245/xinshang24a.html %V 245 %X Firstly, a large group clustering algorithm based on data similarity is proposed, which can set different thresholds to cluster the decision results of expert groups. Secondly, the interval-valued pythagorean fuzzy number (IVPFN) hesitancy accuracy function and hesitancy score function are proposed. And based on the consideration of the distance between centroids and rectangular area in the geometric meaning of IVPFN, a calculation formula is proposed to distinguish different IVPFNs. Thirdly, use the above formula to construct a weight calculation model for evaluation criteria with adjustment coefficients. The decision matrix is weighted and its relative distance from the positive and negative ideal solutions is calculated to produce the final ranking. Finally, the cultural tourism project decision-making problem is analyzed as an arithmetic example and compared with the methods in the literature of other related fields to illustrate the rationality and scientificity of this paper.
APA
Xinshang, Y. & Zhe, Z.. (2024). A Multi-attribute Large Group Decision-making Method Based on Interval-valued Pythagorean Fuzzy Number. Proceedings of 2024 International Conference on Machine Learning and Intelligent Computing, in Proceedings of Machine Learning Research 245:430-442 Available from https://proceedings.mlr.press/v245/xinshang24a.html.

Related Material