Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Mobile data and transaction management
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Information Sciences—Informatics and Computer Science: An International Journal
What drives mobile commerce? An empirical evaluation of the revised technology acceptance model
Information and Management
Using a multi-criteria decision making approach to evaluate mobile phone alternatives
Computer Standards & Interfaces
Genetic programming of fuzzy aggregation operations
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A causal analytical method for group decision-making under fuzzy environment
Expert Systems with Applications: An International Journal
Applicants' selection applying a fuzzy multicriteria CBR methodology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Using AHP and TOPSIS approaches in customer-driven product design process
Computers in Industry
Evaluation of software development projects using a fuzzy multi-criteria decision approach
Mathematics and Computers in Simulation
A new fuzzy TOPSIS for fuzzy MADM problems under group decisions
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A combined fuzzy AHP-goal programming approach to assembly-line selection
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Expert Systems with Applications: An International Journal
A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks
Expert Systems with Applications: An International Journal
An integrated fuzzy approach for provider evaluation and selection in third-party logistics
Expert Systems with Applications: An International Journal
Fuzzy axiomatic design extension for managing model selection paradigm in decision science
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A new multi-attribute decision making method: Hierarchical fuzzy axiomatic design
Expert Systems with Applications: An International Journal
Weapon selection using the AHP and TOPSIS methods under fuzzy environment
Expert Systems with Applications: An International Journal
Supplier selection in electronic marketplaces using satisficing and fuzzy AHP
Expert Systems with Applications: An International Journal
Group decision making process for supplier selection with VIKOR under fuzzy environment
Expert Systems with Applications: An International Journal
A decision support system for engineering design based on an enhanced fuzzy MCDM approach
Expert Systems with Applications: An International Journal
Extension of axiomatic design principles under fuzzy environment
Expert Systems with Applications: An International Journal
A decision support system for fuzzy multi-attribute selection of material handling equipments
Expert Systems with Applications: An International Journal
Indicator design for passenger car using fuzzy axiomatic design principles
Expert Systems with Applications: An International Journal
Usability ranking of intercity bus passenger seats using fuzzy axiomatic design theory
CDVE'06 Proceedings of the Third international conference on Cooperative Design, Visualization, and Engineering
Hi-index | 12.05 |
Efficient logistics and supply chain management are enabled through the use of efficient information technologies (IT). The mobile logistics tools represent the IT interface in the supply chain. This paper aims to aid decision makers to identify the most appropriate mobile logistics tools and to achieve this aim, several evaluation criteria are identified to evaluate logistics tools, and a fuzzy axiomatic design (FAD) based group decision-making method is adopted to perform the evaluation in two phases. In the first phase of pre-assessment, alternatives that cannot meet basic requirements and the defined threshold are eliminated. In the second phase of selection, the remaining alternatives are more meticulously evaluated. Criteria weights are determined using fuzzy analytic hierarchy process (AHP) and another fuzzy multi-criteria decision-making (MCDM) technique, namely fuzzy technique for order preference by similarity to ideal solution (TOPSIS), is applied in the second phase to compare the outcome of FAD. A case study is provided in order to demonstrate the potential of the proposed methodology. Personal digital assistants (PDAs) with integrated barcode scanner that are available in the Turkish market are evaluated.