Computational intelligence systems in industrial engineering [electronic resource] : with recent theory and applications / [edited by] Cengiz Kahraman.
Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems. It is concerned with the development, improvement, implementation and evaluation of production and service systems. Computational Intelligence Systems find a wide application area in indu...
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Full Text (via Springer) |
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| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Paris, France :
Atlantis Press,
©2012.
|
| Series: | Atlantis computational intelligence systems ;
v. 6. |
| Subjects: |
MARC
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| 245 | 0 | 0 | |a Computational intelligence systems in industrial engineering |h [electronic resource] : |b with recent theory and applications / |c [edited by] Cengiz Kahraman. |
| 260 | |a Paris, France : |b Atlantis Press, |c ©2012. | ||
| 300 | |a 1 online resource (xx, 680 pages) | ||
| 336 | |a text |b txt |2 rdacontent. | ||
| 337 | |a computer |b c |2 rdamedia. | ||
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| 490 | 1 | |a Atlantis computational intelligence systems ; |v v. 6. | |
| 505 | 0 | 0 | |t Computational Intelligent Systems in IndustrialEngineering / |r Cengiz Kahraman --A |t Comparison of Methods for Selecting Preferred Solutions in Multiobjective Decision Making / |r Enrico Zio and Roberta Bazzo -- |t Using a Recommender System to Help the Technology Transfer Office Staff to Disseminate Selective Information / |r C. Porcel, A. Tejeda-Lorente, M.A. Martínez and E. Herrera-Viedma -- |t Power of Linguistic Data Summaries and Their Protoforms / |r Janusz Kacprzyk and Sławomir Zadrożny -- |t Can Fuzzy Logic Formalism Bring Complex Environmental Issues into Focus? / |r Ashok Deshpande -- |t TOPSIS and its Extensions: Applications for Road Safety Performance Evaluation / |r Qiong Bao, Da Ruan, Yongjun Shen, Elke Hermans and Davy Janssens -- |t Fuzzy Failure Rate for Nuclear Power Plant Probabilistic Safety Assessment by Fault Tree Analysis / |r Julwan Hendry Purba, Jie Lu and Guangquan Zhang --A |t Fuzzy Analytic Network Process Approach / |r Umut Asan, Ayberk Soyer and Seyda Serdarasan -- |t Swarm Intelligence Optimization: Applications of Particle Swarms in Industrial Engineering and Nuclear Power Plants / |r Miltiadis Alamaniotis, Andreas Ikonomopoulos and Lefteri H. Tsoukalas --A |t Review of Genetic Algorithm Applications in Supply Chain Network Design / |r Cagatay Iris and Seyda Serdar Asan. |
| 505 | 8 | 0 | |t Fuzzy PROMETHEE for the Environmental Quality Assessment of Energy Dedicated Crops / |r Fausto Cavallaro and Luigi Ciraolo -- |t Forecasting Energy Demand Using Fuzzy Seasonal Time Series / |r Irem Uçal Sarı and Baş̧ar Öztayşi -- |t Multi-Objective Scheduling Problems for Re-Entrant Shops / |r Atefeh Moghaddam, Farouk Yalaoui and Lionel Amodeo --An |t Introduction to Self-Organizing Maps / |r Umut Asan and Secil Ercan -- |t Fuzzy Multi-Objective Programming for Energy Resource Planning / |r Adesh Jinturkar and Sandip Deshmukh -- |t Fuzzy Simulation Based Chance ConstrainedProgramming / |r Erhan Bozdag, Ceren Buket Kayı and Pınar Dursun --A |t Cooperative Intelligent Approach for Job-shop Scheduling Based on Bacterial Foraging Strategy and Particle Swarm Optimization / |r Hongwei Ge and Guozhen Tan -- |t Using Fuzzy Cognitive Maps as a Modeling Tool for Traveler Satisfaction in Public Transit Systems / |r Seda Ugurlu and Y. Ilker Topcu -- |t Genetic Algorithm to Solve Container Storage Problem for a Single and Various Types / |r Imen Ayachi, Ryan Kammarti and Pierre Borne -- |t Fuzzy Geometric Programming Model with Applications in Industrial Engineering / |r Esra Bas --An |t Artificial Intelligent Classification System for Thermoplastic Recycling Using Sensor Fusion / |r S. Satorres Martínez, J.M. López Paniza, M. Cobo Ramírez, J. Gómez Ortega and J. Gámez García. |
| 505 | 8 | 0 | |t Linear Programming for Distribution Network Design Under Fuzzy Environment / |r Alp Ustundag and Emre Cevikcan -- |t GSA-Based Training of Convolutional Neural Networks for OCR Applications / |r Lucian-Ovidiu Fedorovici, Radu-Emil Precup, Radu-Codrut David and Florin Dragan -- |t Fuzzy Logic Applications in Cellular Manufacturing System Design / |r Hulya Behret and Sule Itir Satoglu --The |t Shape of Crisis Lessons from Self Organizing Maps / |r Marina Resta -- |t Evolutions in Particle Swarm Optimization: Benchmark on Continuous Cases / |r Ayca Altay and Gulgun Kayakutlu -- |t Active Distribution Networks and Smart Grids: Optimal Allocation of Wind Turbines by Using Hybrid GA and Multi-Period OPF / |r P. Siano, G. Rigatos and A. Piccolo -- |t Re-Mining Association Mining Results Through Visualization, Data Envelopment Analysis, and Decision Trees / |r Gurdal Ertek and Murat Mustafa Tunc --A |t Multi-Objective Evolutionary Algorithm for Finding Efficient Solutions to a Competitive Facility Location Problem / |r José Maria Pangilinan, Gerrit K. Janssens and An Caris -- |t Human Fatigue: Evaluation with the Usage of Bayesian Networks / |r Nikolaos P. Ventikos, Georgios V. Lykos and Nikolaos A. Vagias. |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems. It is concerned with the development, improvement, implementation and evaluation of production and service systems. Computational Intelligence Systems find a wide application area in industrial engineering: neural networks in forecasting, fuzzy sets in capital budgeting, ant colony optimization in scheduling, Simulated Annealing in optimization, etc. This book will include most of the application areas of industrial engineering through these computational intelligence systems. In the literature, there is no book including many real and practical applications of Computational Intelligence Systems from the point of view of Industrial Engineering. Every chapter will include explanatory and didactic applications. It is aimed that the book will be a main source for MSc and PhD students. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Industrial engineering |x Mathematics. |0 http://id.loc.gov/authorities/subjects/sh85065865. | |
| 650 | 7 | |a Industrial engineering |x Mathematics. |2 fast |0 (OCoLC)fst00971003. | |
| 700 | 1 | |a Kahraman, Cengiz. |0 http://id.loc.gov/authorities/names/nb2006018778 |1 http://isni.org/isni/0000000110617512. | |
| 776 | 0 | 8 | |i Print version: |t Computational intelligence systems in industrial engineering. |d Paris, France : Atlantis Press, ©2012 |z 9789491216763. |
| 830 | 0 | |a Atlantis computational intelligence systems ; |v v. 6. |0 http://id.loc.gov/authorities/names/no2010092089. | |
| 856 | 4 | 0 | |u https://colorado.idm.oclc.org/login?url=http://link.springer.com/10.2991/978-94-91216-77-0 |z Full Text (via Springer) |
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