Paper Info
Title
A Novel Interval-Valued Fuzzy Soft Decision-Making Method Based On Cocoso And Critic For Intelligent Healthcare Management Evaluation
Abstract
The intelligent healthcare management is of great concern to mobilize the enthusiasm of individuals and groups, and effectively use limited resources to achieve maximum health improvement by AI technology. When considering the intelligent healthcare management evaluation, the primary issues involve many uncertainties. Interval-valued fuzzy soft set, depicted by membership degree with interval form, is a more resultful means for capturing uncertainty. In this paper, the comparison issue in interval-valued fuzzy soft environment is disposed of by proposing novel score function. Later, some new properties for interval-valued fuzzy soft matrix are investigated in detail. Moreover, the objective weight is calculated by CRITIC (Criteria Importance Through Inter-criteria Correlation) method. Meanwhile, the combined weight is determined by reflecting both subjective weight and the objective weight. Then, interval-valued fuzzy soft decision-making algorithm-based CoCoSo (Combined Compromise Solution) is developed. Lastly, the validity of algorithm is expounded by the healthcare management industry evaluation issue, along with their sensitivity analysis. The main characteristics of the presented algorithm are: (1) without counterintuitive phenomena; (2) no division by zero problem; (3) have strong ability to distinguish alternatives.
Year
DOI
Venue
2021
10.1007/s00500-020-05437-y
SOFT COMPUTING
Keywords
DocType
Volume
Intelligent healthcare management, Interval-valued fuzzy soft sets, Score function, CoCoSo, CRITIC
Journal
25
Issue
ISSN
Citations 
6
1432-7643
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Xindong Peng1287.11
Raghunathan Krishankumar231.38
K. S. Ravichandran3183.22