This paper deals with the transportation problem by considering the when the passenger capacity of an aircraft as a fuzzy parameter to minimize the operating cost. The passenger capacity of an aircraft is assumed to be fuzzy numbers with trapezoidal membership function. By the graded mean integration representation method, the model will be derived in the fuzzy sense in order to obtain the opti...

There are two possible ways for integrating fuzzy logic and evolutionary algorithms. The first one involves the application of evolutionary algorithms for solving optimization and search problems related with fuzzy systems, obtaining genetic fuzzy systems. The second one concerns the use of fuzzy tools and fuzzy logic-based techniques for modelling different evolutionary algorithm components an...

This paper presents a multi-objective fuzzy chance constrained capacitated transportation problem based on fuzzy goal programming problem with capacity restrictions on commodities which are shipped from different sources to different destinations. The capacity of each origin and the demand of each destination are considered random in nature with fuzzy normal stochastic parameters following norm...

New trends and the effect of key factors influence the quality of the holes produced by ECM processes. Researchers developed a fuzzy logic controller by adding intelligence to the ECM process. Maintaining optimum ECM process conditions ensures higher machining efficiency and performance. This paper presents the development of a fuzzy logic controller to add intelligence to the ECM process. An e...

The subject of this paper is a novel synchronous fuzzy qualitative simulator developed within the Mycro]t fuzzy quaditative reasoning framework. Synchronous fuzzy qualitative simulation involves replacing the transition rules of Mycro# with an integration phase utilising a qualitative version of Eulcrs first order approximation to the Taylor series: Qualitative Euler Integration (QEI). The simu...

New trends and the effect of key factors influence the quality of the holes produced by ECM processes. Researchers developed a fuzzy logic controller by adding intelligence to the ECM process. Maintaining optimum ECM process conditions ensures higher machining efficiency and performance. This paper presents the development of a fuzzy logic controller to add intelligence to the ECM process. An e...

Current studies related to performance and integration of Software Engineering teams, focus on efficiency boarding different factors such as team abilities, management, tools, methodologies, personality and roles. The present work is a follow up of RAMSET (Role Assignment Methodology for Software Engineering Teams) methodology that relates personality, abilities and software roles for integrati...

This paper introduces the research on possibility of global optimization elements and ε-insensitive learning techniques integration in aim of fuzzy if-then rules extraction quality increase. The new learning algorithm of neuro-fuzzy system with parameterized consequents is introduced. It consists in integration of deterministic annealing and ε iterative quadratic programming method. The propose...

Many real-world problems can be cast into a multiple-information aggregation framework where preliminary evaluations of separate information sources are combined to produce more accurate and reliable evaluation than would otherwise be the case. In this paper we describe a syllable-proximity evaluation problem in automatic speech recognition that fits well into this aggregation framework. A fuzz...

This paper discusses the integration of health monitoring and flight control systems for small Unmanned Aerial Vehicles (UAVs). After briefly reviewing previous fuzzy logic controllers (FLC) of air vehicles, a very low cost integration method is proposed. The proposed fuzzy logic (FL) selects the best gain values for the operation of PD or PID controllers of the autonomous flight system accordi...