An empirical study of EDI trading partner selection criteria in customer-supplier relationships
Information and Management
Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment
Expert Systems with Applications: An International Journal
Design and analysis of a fault tolerant hybrid mobile scheme
Information Sciences: an International Journal
On information energy of the image fuzzy sets
Information Sciences: an International Journal
Group decision making based on multiple types of linguistic preference relations
Information Sciences: an International Journal
Information Sciences: an International Journal
Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management
Information Sciences: an International Journal
A multiple stakeholders' approach to strategic selection decisions
Computers and Industrial Engineering
Information Sciences: an International Journal
Information Sciences: an International Journal
Mining marketing maps for business alliances
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Extracting Core ICT Indicators Using Entropy Method
The Information Society
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
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As world economic activities intensify and trade barriers fall, the formation of viable strategic alliances in the liner shipping industry gains importance and accelerates of necessity. However, the selection of a suitable partner for strategic alliance is not an easy decision, involving a host of complex considerations. Decision-making information is hard to come by and often vague, particularly regarding privately held companies. Fuzzy set theory was designed to sort through the uncertainties of vague linguistic terms and help generate a single possible outcome. This research paper proposes the utilization of the fundamental principles encompassed in the fuzzy set theory to analyze and consider a multiplicity of complex criteria and determines the most suitable partner in strategic shipping alliances.The fundamental emphasis of the current fuzzy multiple criteria decision-making (FMCDM) methodology is the determination, definition, testing and comparison of complex multi-level criteria used in the partnership selection process. The tools and formulas employed are: (1) triangular fuzzy numbers and linguistic values characterized by triangular fuzzy numbers which are used to evaluate the preference rating system: (2) the method of graded mean integration, and the entropy weighting method which are jointly used to adjust integration weights of all sub-criteria above those of the alternatives: (3) the concepts of ideal and anti-ideal solutions which are employed to calculate the relative closeness of the various alternatives versus ideal solutions to rank their priorities, and finally, to determine the best alternative. We design a hypothetical problem in selecting partners of strategic alliances for liner shipping to demonstrate the computational process of this FMCDM algorithm. The main contribution of this paper is that the definition, conversion, and treatment of vague and complex multi-level crite ria as set memberships under the fuzzy set theory are employed to develop a practical model for business purpose.