Ranking fuzzy numbers with index of optimism
Fuzzy Sets and Systems
Ranking fuzzy numbers with integral value
Fuzzy Sets and Systems
Evaluating weapon system by Analytical Hierarchy Process based on fuzzy scales
Fuzzy Sets and Systems
Evaluating weapon systems using fuzzy arithmetic operations
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
A new approach for ranking fuzzy numbers by distance method
Fuzzy Sets and Systems
Choice processes for non-homogeneous group decision making in linguistic setting
Fuzzy Sets and Systems
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Sets and Systems - Special issue: Soft decision analysis
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Service selection decision support in the internet of services
GECON'10 Proceedings of the 7th international conference on Economics of grids, clouds, systems, and services
Fuzzy VIKOR with an application to water resources planning
Expert Systems with Applications: An International Journal
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Journal of Theoretical and Applied Electronic Commerce Research
Intelligent model in B2C e-commerce using fuzzy approaches
ACACOS'12 Proceedings of the 11th WSEAS international conference on Applied Computer and Applied Computational Science
A recommender mechanism for service selection in service-oriented environments
Future Generation Computer Systems
Group decision making based on induced uncertain linguistic OWA operators
Decision Support Systems
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For fuzzy multi-attribute decision-making, a fuzzy symmetry matrix, by referring to covariance definition of random variables, is constructed as attribute evaluation space based on fuzzy decision-making matrix. Improving the fuzzy Analytic Hierarchy Process (AHP) method is proposed by using the approximate fuzzy eigenvector of such fuzzy symmetry matrix. This algorithm reflects the dispersed projection of decision information in general. It has better objectivity and resolving power for the decision-making. This algorithm is used for illustration and comparison with other methods. The results are applied in an example to illustrate that this algorithm is more efficient and objective for multi-attribute decision-making application.