Abstract:
To evaluate the beneficial and valuable decision from the collection of preferences, the MADM “multi-attribute decision-making” technique is more effective for evaluating our main problem. Moreover, the main theory of picture hesitant fuzzy (PHF) information is the modified and generalized version of the fuzzy, intuitionistic, picture, hesitant fuzzy information and some other extensions, and due to these reasons, they receive a lot of attention from different scholars. The major influence of this theory is to pioneer the theory of generalized hybrid aggregation operators under the consideration of PHF information, called PHF generalized weighted averaging (PHFGWA), PHF generalized ordered weighted averaging (PHFGOWA), PHF generalized hybrid weighted averaging (PHFGHWA) operators, evaluated their valuable and flexible properties with some dominant results. Further, we know that without a decision-making technique it is very awkward to find our required information, therefore, in this manuscript, we also evaluated a MADM procedure under the availability of diagnosed operators to show the supremacy and worth of the pioneered information. Finally, we aim to evaluate the comparative analysis of the pioneered information with some prevailing operators to enhance the capability and accuracy of the proposed information.
Page(s):
82-94
DOI:
DOI not available
Published:
Journal: Technical Journal, Volume: 27, Issue: 1, Year: 2022
Keywords:
Decision Making
,
variance
,
Mean
,
correlation coefficient
,
Picture hesitant fuzzy sets