Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
A fuzzy decision support system for strategic portfolio management
Decision Support Systems
A new perspective for optimal portfolio selection with random fuzzy returns
Information Sciences: an International Journal
Information Sciences: an International Journal
Asset portfolio optimization using fuzzy mathematical programming
Information Sciences: an International Journal
Is there a need for fuzzy logic?
Information Sciences: an International Journal
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Fuzzy portfolio selection using fuzzy analytic hierarchy process
Information Sciences: an International Journal
Toward a generalized theory of uncertainty (GTU)--an outline
Information Sciences: an International Journal
Invertible matrices and semilinear spaces over commutative semirings
Information Sciences: an International Journal
Enhancing enterprise agility by deploying agile drivers, capabilities and providers
Information Sciences: an International Journal
Analytical solution methods for the fuzzy weighted average
Information Sciences: an International Journal
PB-ADVISOR: A private banking multi-investment portfolio advisor
Information Sciences: an International Journal
Some new results on value ranges of risks for mean-variance portfolio models
Information Sciences: an International Journal
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In this paper, we draw upon portfolio analysis to develop and implement a strategic decision making model. We consider the limitations and problems of classic portfolio analysis approach and resolve these problems by using fuzzy set theory. In the proposed method, both internal and external factors are evaluated in linguistic terms and in terms of fuzzy triangular numbers. The fuzzy numbers are fed into an industry attractiveness-business analysis matrix. The novelty of the proposed approach comes from the fact that fuzzy numbers are processed without using conventional methods, allowing for strategies to be ranked.