The purpose of this paper is to develop a nonlinear programming model and method for solving fuzzy multi-attribute group decision making (FMAGDM) problems with linguistic variables. In this methodology, alternatives are assessed on qualitative attributes using linguistic terms from the...

Biological systems are complex, consisting of many elements of different nature. As a whole, they are robust, and a general system description can be done in a semi-quantitative way when it comes to phenotype behaviors. We used these properties earlier1 to develop a new systems biology method,...

This paper offers a new approach to building fuzzy consideration sets, a well-established practical tool for marketers. Previous studies have been based on the standard (McFadden) model of consumer choice. In practical terms their approach is a variant of logistic regression, with fuzzy...

This paper offers a new approach to building fuzzy consideration sets, a well-established practical tool for marketers. Previous studies have been based on the standard (McFadden) model of consumer choice. In practical terms their approach is a variant of logistic regression, with fuzzy...

The aim of this paper is to develop a new fuzzy linear programming technique for solving multi-attribute decision-making (MADM) problems with incomplete weight preference information under fuzzy environments. In this methodology, linguistic variables are used to capture fuzziness in decision...

Time-series models have been utilized to make reasonably accurate predictions in the areas of stock price movements, academic enrollments, weather, etc. For promoting the forecasting performance of fuzzy time-series models, this paper proposes a new model, which incorporates the concept of the...

The pure linguistic multiple attribute decision making problems are studied, in which the information about the attribute weights are expressed in the form of linguistic variables or uncertain linguistic variables, and the attribute values take the form of uncertain linguistic variables. The...