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Computational Intelligence Systems in Industrial Engineering

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Cover of 'Computational Intelligence Systems in Industrial Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Computational Intelligent Systems in IndustrialEngineering
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    Chapter 2 A Comparison of Methods for Selecting Preferred Solutions in Multiobjective Decision Making
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    Chapter 3 Using a Recommender System to Help the Technology Transfer Office Staff to Disseminate Selective Information
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    Chapter 4 Power of Linguistic Data Summaries and Their Protoforms
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    Chapter 5 Can Fuzzy Logic Formalism Bring Complex Environmental Issues into Focus?
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    Chapter 6 TOPSIS and its Extensions: Applications for Road Safety Performance Evaluation
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    Chapter 7 Fuzzy Failure Rate for Nuclear Power Plant Probabilistic Safety Assessment by Fault Tree Analysis
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    Chapter 8 A Fuzzy Analytic Network Process Approach
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    Chapter 9 Swarm Intelligence Optimization: Applications of Particle Swarms in Industrial Engineering and Nuclear Power Plants
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    Chapter 10 A Review of Genetic Algorithm Applications in Supply Chain Network Design
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    Chapter 11 Fuzzy PROMETHEE for the Environmental Quality Assessment of Energy Dedicated Crops
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    Chapter 12 Forecasting Energy Demand Using Fuzzy Seasonal Time Series
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    Chapter 13 Multi-Objective Scheduling Problems for Re-Entrant Shops
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    Chapter 14 An Introduction to Self-Organizing Maps
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    Chapter 15 Fuzzy Multi-Objective Programming for Energy Resource Planning
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    Chapter 16 Fuzzy Simulation Based Chance ConstrainedProgramming
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    Chapter 17 A Cooperative Intelligent Approach for Job-shop Scheduling Based on Bacterial Foraging Strategy and Particle Swarm Optimization
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    Chapter 18 Using Fuzzy Cognitive Maps as a Modeling Tool for Traveler Satisfaction in Public Transit Systems
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    Chapter 19 Genetic Algorithm to Solve Container Storage Problem for a Single and Various Types
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    Chapter 20 Fuzzy Geometric Programming Model with Applications in Industrial Engineering
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    Chapter 21 An Artificial Intelligent Classification System for Thermoplastic Recycling Using Sensor Fusion
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    Chapter 22 Linear Programming for Distribution Network Design Under Fuzzy Environment
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    Chapter 23 GSA–Based Training of Convolutional Neural Networks for OCR Applications
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    Chapter 24 Fuzzy Logic Applications in Cellular Manufacturing System Design
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    Chapter 25 The Shape of Crisis Lessons from Self Organizing Maps
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    Chapter 26 Evolutions in Particle Swarm Optimization: Benchmark on Continuous Cases
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    Chapter 27 Active Distribution Networks and Smart Grids: Optimal Allocation of Wind Turbines by Using Hybrid GA and Multi-Period OPF
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    Chapter 28 Re-Mining Association Mining Results Through Visualization, Data Envelopment Analysis, and Decision Trees
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    Chapter 29 A Multi-Objective Evolutionary Algorithm for Finding Efficient Solutions to a Competitive Facility Location Problem
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    Chapter 30 Human Fatigue: Evaluation with the Usage ofBayesian Networks
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Title
Computational Intelligence Systems in Industrial Engineering
Published by
Atlantis Press, November 2012
DOI 10.2991/978-94-91216-77-0
ISBNs
978-9-49-121676-3, 978-9-49-121677-0
Editors

Kahraman, Cengiz

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 5%
Professor > Associate Professor 4 5%
Student > Master 3 4%
Student > Ph. D. Student 3 4%
Student > Doctoral Student 1 1%
Other 2 2%
Unknown 64 79%
Readers by discipline Count As %
Computer Science 4 5%
Engineering 4 5%
Mathematics 2 2%
Economics, Econometrics and Finance 2 2%
Decision Sciences 2 2%
Other 2 2%
Unknown 65 80%