This paper describes a hybridized intelligent algorithm as a tuning mechanism for one type of Genetic Fuzzy system termed the Genetic Fuzzimetric Technique (GFT). The proposed technique is based on the genetically inspired ...

Combination of Fuzzy logic and Genetic Algorithm is becoming popular among researchers in the field. GFT (Genetic Fuzzimetric Technique) is of no exception which merges Fuzzy logic with genetic algorithm to achieve the ...

Purpose The university social responsibility (USR) is still in embryonic stage compared to corporate social responsibility (CSR) which is still debatable by researchers. The purpose of this paper is to propose the ...

Purpose – This paper seeks to identify and propose a standard approach for the selection and optimization of fuzzy sets used in fuzzy decision‐making systems. Design/methodology/approach – The design was based on two ...

In spite of the rational reasoning of the low financial impact of cloud computing, clients (other businesses) lack the desire to join the cloud due to a number of determinants that will be reviewed in this paper. Emotional ...

Employee performance evaluations are one type of decision-making process that is embedded with uncertainty and ambiguity before concluding the final index. After reviewing different approaches to achieving such target, ...

We determine the real option value and the optimal launching time of a major project when the project present value follows a stochastic process with fuzzy volatility, and the project has to be delayed until it is deemed ...

Cloud computing is a new structure of information technology that is becoming the main part of the new model of business environment. Cloud services provide easy, quick and scalable business setting and development across ...

Taxi scheduling problem represent the heart of management problems for most Taxi companies. This is due to the fact that information in such environment is dynamic in nature with a high degree of uncertainty. Fuzzy logic ...

This paper proposes a mechanism for the development of a Genetic Fuzzimetric Technique (GFT) based on the principle of Fuzzimetric Arcs. The objective is to standardize the GFS by applying this concept to select and optimize ...