TY - GEN
T1 - A Comparative Analysis of Fuzzifying the Best Worst Method
AU - Tsang, Yung Po
AU - Li, Yanlin
AU - Lee, Carman Ka Man
AU - Chen, Zhen Song
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/8
Y1 - 2023/8
N2 - Best worst method (BWM) is regarded as one of the popular discrete multi-criteria decision-making approaches since 2015 to systematically understand human perspectives into various problem-solving scenarios. Recently, a number of research studies extend the BWM by considering the fuzzy set theory, and thus type-1 fuzzy and interval type-2 fuzzy best worst methods (i.e. T1FBWM and IT2FBWM) are formulated, due to the information vagueness and uncertainty. However, the necessity and performance of incorporating advanced fuzzy set theories in the BWM is not fully examined yet. In this study, a comparative analysis of BWM, T1FBWM and IT2FBWM is performed, while a case study of technological eco-innovation for smart glasses is conducted. Main sustainable design features of smart glasses are considered to determine the most preferred direction for next-generation smart glass design. From this study, regarding the total deviation, it is found that T1FBWM and IT2FBWM are preferred in the individual and group decision-making scenario, respectively. In addition, according to the final results, the feature of multi-purpose and recyclable is chosen as the most desirable design direction for smart glasses.
AB - Best worst method (BWM) is regarded as one of the popular discrete multi-criteria decision-making approaches since 2015 to systematically understand human perspectives into various problem-solving scenarios. Recently, a number of research studies extend the BWM by considering the fuzzy set theory, and thus type-1 fuzzy and interval type-2 fuzzy best worst methods (i.e. T1FBWM and IT2FBWM) are formulated, due to the information vagueness and uncertainty. However, the necessity and performance of incorporating advanced fuzzy set theories in the BWM is not fully examined yet. In this study, a comparative analysis of BWM, T1FBWM and IT2FBWM is performed, while a case study of technological eco-innovation for smart glasses is conducted. Main sustainable design features of smart glasses are considered to determine the most preferred direction for next-generation smart glass design. From this study, regarding the total deviation, it is found that T1FBWM and IT2FBWM are preferred in the individual and group decision-making scenario, respectively. In addition, according to the final results, the feature of multi-purpose and recyclable is chosen as the most desirable design direction for smart glasses.
KW - best worst method
KW - Fuzzy set theory
KW - smart glasses
KW - sustainable design
KW - type-2 fuzzy
UR - http://www.scopus.com/inward/record.url?scp=85178505986&partnerID=8YFLogxK
U2 - 10.1109/FUZZ52849.2023.10309782
DO - 10.1109/FUZZ52849.2023.10309782
M3 - Conference article published in proceeding or book
AN - SCOPUS:85178505986
T3 - IEEE International Conference on Fuzzy Systems
SP - e-copy
BT - 2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023
Y2 - 13 August 2023 through 17 August 2023
ER -