Fuzzy goal programming- an additive model
Fuzzy Sets and Systems
Fuzzy programming with nonlinear membership functions: piecewise linear approximation
Fuzzy Sets and Systems
The relationship between goal programming and fuzzy programming
Fuzzy Sets and Systems
A tolerance approach for unbalanced economic development policy-making in a fuzzy environment
Information Sciences—Applications: An International Journal
A method for group decision making with multi-granularity linguistic assessment information
Information Sciences: an International Journal
Toward a generalized theory of uncertainty (GTU)--an outline
Information Sciences: an International Journal
Introducing the Discriminative Paraconsistent Machine (DPM)
Information Sciences: an International Journal
Robust shortest path problem based on a confidence interval in fuzzy bicriteria decision making
Information Sciences: an International Journal
Information Sciences: an International Journal
Hi-index | 0.07 |
Narasimhan incorporated fuzzy set theory within goal formulation in 1980. Since then, much research has been performed in this field, and various models for solving fuzzy goal programming have been proposed. One of the well-known models was proposed by Tiwari et al. in 1987 [19], where an additive model was proposed. This paper is an extension to the Tiwari et al. model that deals with the sum of weighted negative deviations between the desirable achievement degree and the common target. Here, properties of the model are proposed. A numerical example is also given to illustrate the approach.