A multi-granularity proportional hesitant fuzzy linguistic TODIM method and its application to emergency decision making

Yingying Liang; Yan Tu; Yanbing Ju; Wenjing Shen

doi:10.1016/j.ijdrr.2019.101081

A multi-granularity proportional hesitant fuzzy linguistic TODIM method and its application to emergency decision making

Yingying Liang, Yan Tu^*, Yanbing Ju, Wenjing Shen

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

48 Citations (Scopus)

Abstract

Proportional hesitant fuzzy linguistic sets (PHFLSs), is a good way of representing uncertain assessment of decision makers. This paper focuses on extending the Interactive and Multiple Attribute Decision Making (TODIM) method into multi-granularity PHFLSs environment. We first propose a new ranking method and a normalized Hamming distance measure of multi-granularity PHFLSs, which can be used to measure and compare multi-granularity PHFLSs and is associated with lower computational complexity. Next, we develop the multi-granularity proportional hesitant linguistic TODIM approach, where the criteria weights are derived by using incomplete weight information. Finally, a case study on mine emergency decision making problem is presented to demonstrate the effectiveness of the proposed method.

Original language	English
Article number	101081
Journal	International Journal of Disaster Risk Reduction
Volume	36
DOIs	https://doi.org/10.1016/j.ijdrr.2019.101081
Publication status	Published - May 2019

Keywords

Emergency decision making
Multi-granularity
Proportional hesitant fuzzy linguistic set
TODIM method

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10.1016/j.ijdrr.2019.101081

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title = "A multi-granularity proportional hesitant fuzzy linguistic TODIM method and its application to emergency decision making",

abstract = "Proportional hesitant fuzzy linguistic sets (PHFLSs), is a good way of representing uncertain assessment of decision makers. This paper focuses on extending the Interactive and Multiple Attribute Decision Making (TODIM) method into multi-granularity PHFLSs environment. We first propose a new ranking method and a normalized Hamming distance measure of multi-granularity PHFLSs, which can be used to measure and compare multi-granularity PHFLSs and is associated with lower computational complexity. Next, we develop the multi-granularity proportional hesitant linguistic TODIM approach, where the criteria weights are derived by using incomplete weight information. Finally, a case study on mine emergency decision making problem is presented to demonstrate the effectiveness of the proposed method.",

keywords = "Emergency decision making, Multi-granularity, Proportional hesitant fuzzy linguistic set, TODIM method",

author = "Yingying Liang and Yan Tu and Yanbing Ju and Wenjing Shen",

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year = "2019",

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T1 - A multi-granularity proportional hesitant fuzzy linguistic TODIM method and its application to emergency decision making

AU - Liang, Yingying

AU - Tu, Yan

AU - Ju, Yanbing

AU - Shen, Wenjing

PY - 2019/5

Y1 - 2019/5

N2 - Proportional hesitant fuzzy linguistic sets (PHFLSs), is a good way of representing uncertain assessment of decision makers. This paper focuses on extending the Interactive and Multiple Attribute Decision Making (TODIM) method into multi-granularity PHFLSs environment. We first propose a new ranking method and a normalized Hamming distance measure of multi-granularity PHFLSs, which can be used to measure and compare multi-granularity PHFLSs and is associated with lower computational complexity. Next, we develop the multi-granularity proportional hesitant linguistic TODIM approach, where the criteria weights are derived by using incomplete weight information. Finally, a case study on mine emergency decision making problem is presented to demonstrate the effectiveness of the proposed method.

AB - Proportional hesitant fuzzy linguistic sets (PHFLSs), is a good way of representing uncertain assessment of decision makers. This paper focuses on extending the Interactive and Multiple Attribute Decision Making (TODIM) method into multi-granularity PHFLSs environment. We first propose a new ranking method and a normalized Hamming distance measure of multi-granularity PHFLSs, which can be used to measure and compare multi-granularity PHFLSs and is associated with lower computational complexity. Next, we develop the multi-granularity proportional hesitant linguistic TODIM approach, where the criteria weights are derived by using incomplete weight information. Finally, a case study on mine emergency decision making problem is presented to demonstrate the effectiveness of the proposed method.

KW - Emergency decision making

KW - Multi-granularity

KW - Proportional hesitant fuzzy linguistic set

KW - TODIM method

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DO - 10.1016/j.ijdrr.2019.101081

M3 - Article

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JO - International Journal of Disaster Risk Reduction

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ER -

A multi-granularity proportional hesitant fuzzy linguistic TODIM method and its application to emergency decision making

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Keywords

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