Multicriteria decision analysis with fuzzy pairwise comparisons
Fuzzy Sets and Systems
Ranking fuzzy numbers with integral value
Fuzzy Sets and Systems
Fuzzy hierarchical analysis: the Lambda-Max method
Fuzzy Sets and Systems - Special issue on clustering and learning
Deriving priorities from fuzzy pairwise comparison judgements
Fuzzy Sets and Systems - Optimisation and decision
Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment
Expert Systems with Applications: An International Journal
Generalizing TOPSIS for fuzzy multiple-criteria group decision-making
Computers & Mathematics with Applications
Using AHP and TOPSIS approaches in customer-driven product design process
Computers in Industry
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fuzzy least-squares priority method in the analytic hierarchy process
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
A Delphi-AHP-TOPSIS based benchmarking framework for performance improvement of a cold chain
Expert Systems with Applications: An International Journal
Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP
Expert Systems with Applications: An International Journal
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Evaluation and selection of a concrete production facility location is an important strategic decision making problems for both the public and private sector. The multi-dimensional, multi-criteria nature of the concrete production facility location problem limits the usefulness of any particular single objective model. In this study, social, economical, technological, environmental, and transportation factors and sub criteria have been derived to make the optimal concrete production facility location selection decision more realistic and effectual. This study shows an improved and appropriate concrete production facility location evaluation and selection model has been developed by integrating Modified Delphi and Fuzzy Analytic Hierarchy Process FAHP with Technique for Order Preference by Similarity to an Ideal Solution TOPSIS method. An example is presented to show applicability and performance of the proposed methodology followed by a sensitivity analysis to discuss and explain the results.