Titlebook: Computational Intelligence Systems in Industrial Engineering; With Recent Theory a Cengiz Kahraman Book 2012 Atlantis Press 2012 Computer s

多產(chǎn)魚

不適當(dāng)

Using Fuzzy Cognitive Maps as a Modeling Tool for Traveler Satisfaction in Public Transit Systems,nsit ridership are several, conflicting, and incommensurable; a multi criteria decision modeling technique is needed for the analysis of these factors. Fuzzy Cognitive Mapping (FCM) is a decision-support tool which gives the researcher opportunity to model complex systems especially in network shape

知識(shí)

Infant

使成波狀

Overview on Inverse Compton X-ray Sourcess chapter, the previous researches on energy demand forecast are classified and fuzzy techniques are introduced. A fuzzy seasonal time series model that forecasts the energy demand is proposed and illustrated with a real world application.

舊病復(fù)發(fā)

liaison

A Fuzzy Analytic Network Process Approach,ve influence of each factor on every other factor with which it interacts. As its comparison to current methods demonstrates, the method successfully derives meaningful priorities from complex and uncertain decision structures.

誘使

要控制

https://doi.org/10.1007/978-94-010-0355-1r by means of fuzzy simulation. This chapter addresses fuzzy simulation which is used for estimating the possibility (credibility) of the constraints, and genetic algorithm (GA) which is applied as an optimization heuristic. Four numerical examples are given at the end of the chapter to illustrate the utilization of the specified methods.

CRAMP