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

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Fuzzy Failure Rate for Nuclear Power Plant Probabilistic Safety Assessment by Fault Tree Analysis,-related systems. The limitation of the conventional reliability data comes from insufficient historical data for probabilistic calculation. This chapter proposes and discusses a failure possibility-based reliability algorithm to assess nuclear event reliability data from failure possibilities, whic

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Lignans

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Nutrient

Fuzzy PROMETHEE for the Environmental Quality Assessment of Energy Dedicated Crops,d and gaseous) and for the development of vegetal products with specific attributes that make them suitable for industrial processing and transformation into energy. The prospect of using “alternative crops” renders attractive the opportunity of introducing certain plant species where land, includin

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Forecasting Energy Demand Using Fuzzy Seasonal Time Series,g the future demand is very important. Thus, forecasting the future energy demand has gained attention of both academic and professional world. In this chapter, the previous researches on energy demand forecast are classified and fuzzy techniques are introduced. A fuzzy seasonal time series model th

emission

Multi-Objective Scheduling Problems for Re-Entrant Shops,the same time. In this chapter, we study a bi-objective re-entrant permutation flow shop scheduling problem in which the jobs have strict due dates. If the manufacturer will not be able to respect any job’s due date, that job shall be rejected whether by ignoring it completely or sub-contracting the

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An Introduction to Self-Organizing Maps,y data analysis. This chapter provides a general introduction to the structure, algorithm and quality of Self Organizing Maps and presents industrial engineering related applications reported in the literature.

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