Enhancing healthcare supply chain management through artificial intelligence-driven group decision-making with Sugeno-Weber triangular norms in a dual hesitant q-rung orthopair fuzzy context.
Tapan SenapatiArun SarkarGuiyun ChenPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- group decision making
- fuzzy linguistic
- supply chain management
- triangular norms
- supplier selection
- artificial intelligence
- supply chain
- fuzzy sets
- decision makers
- fuzzy numbers
- interval valued
- linguistic variables
- multiple attributes
- ahp method
- aggregation operators
- t norm
- decision making
- fuzzy information
- fuzzy rules
- multi criteria
- database querying
- multiple criteria
- fuzzy measures
- fuzzy logic
- electronic commerce
- preference relations
- neural network
- fuzzy model
- computational intelligence
- data mining
- machine learning
- multi attribute
- multi objective
- real time