Group decision support with the analytic hierarchy process
Decision Support Systems
Evaluating weapon systems using fuzzy arithmetic operations
Fuzzy Sets and Systems
Fuzzy logic and NeuroFuzzy applications in business and finance
Fuzzy logic and NeuroFuzzy applications in business and finance
A hybrid approach to concept selection through fuzzy analytic network process
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Selection of a cleaning system for engine maintenance based on the analytic hierarchy process
Computers and Industrial Engineering
Computers and Industrial Engineering
A simple approach to ranking a group of aggregated fuzzy utilities
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Green supply chain management with linguistic preferences and incomplete information
Applied Soft Computing
Inventory management in a two-echelon closed-loop supply chain with correlated demands and returns
Computers and Industrial Engineering
A biologically inspired solution for fuzzy shortest path problems
Applied Soft Computing
Close-loop or open hierarchical structures in green supply chain management under uncertainty
Expert Systems with Applications: An International Journal
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Sustainable production indicators (SPIs) is a complex and uncertainty concept that is difficult in determining multiple qualitative criteria. Significant efforts have been made related to the measures of SPIs effectiveness. However, a generalized quantitative evaluation model, which considers both the interdependence relation between criteria and the fuzziness of subjective perception concurrently, is lacking. This study evaluates the performance of synthetic SPIs by adopting fuzzy measure and analytical network process (ANP) method in a multi-nation original equipment manufacturing firm. The analytical results indicated that the ANP is a simple, suitable, and effective method for identifying the primary criteria influencing SPIs at case firms, especially when evaluation criteria are interactive and interdependent. The proposed approach is an effective method for assessing the SPIs of a firm and obtains useful information regarding hierarchical framework.