| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046197685 | |
| 005 | 20250414085215 | |
| 008 | 250411r20242011fluad b 001 0 eng d | |
| 020 | ▼a 9781032921396 (pbk) | |
| 020 | ▼z 9781439861578 (hbk) | |
| 020 | ▼z 9780429110702 (ebk) | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 050 | 4 | ▼a T57.95 |
| 082 | 0 4 | ▼a 658.403 ▼2 23 |
| 084 | ▼a 658.403 ▼2 DDCK | |
| 090 | ▼a 658.403 ▼b T998m | |
| 100 | 1 | ▼a Tzeng, G. H. ▼q (Gwo Hshiung). |
| 245 | 1 0 | ▼a Multiple attribute decision making : ▼b methods and appliations / ▼c Gwo-Hshiung Tzeng, Jih-Jeng Huang. |
| 250 | ▼a 1st pbk. [ed.]. | |
| 260 | ▼a Boca Raton, FL : ▼b CRC Press, ▼c 2024. | |
| 300 | ▼a xiv, 335 p. : ▼b ill., charts ; ▼c 24 cm. | |
| 500 | ▼a First published 2011. | |
| 504 | ▼a Includes bibliographical references (p. 309-332) and index. | |
| 650 | 0 | ▼a Multiple criteria decision making. |
| 650 | 0 | ▼a Fuzzy sets. |
| 700 | 1 | ▼a Huang, Jih-Jeng. |
| 945 | ▼a ITMT |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 658.403 T998m | 등록번호 121269041 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Decision makers are often faced with several conflicting alternatives. How do they evaluate trade-offs when there are more than three criteria? To help people make optimal decisions, scholars in the discipline of multiple criteria decision making (MCDM) continue to develop new methods for structuring preferences and determining the correct relative weights for criteria. A compilation of modern decision-making techniques, Multiple Attribute Decision Making: Methods and Applications focuses on the fuzzy set approach to multiple attribute decision making (MADM). Drawing on their experience, the authors bring together current methods and real-life applications of MADM techniques for decision analysis. They also propose a novel hybrid MADM model that combines DEMATEL and analytic network process (ANP) with VIKOR procedures.
The first part of the book focuses on the theory of each method and includes examples that can be calculated without a computer, providing a complete understanding of the procedures. Methods include the analytic hierarchy process (AHP), ANP, simple additive weighting method, ELECTRE, PROMETHEE, the gray relational model, fuzzy integral technique, rough sets, and the structural model. Integrating theory and practice, the second part of the book illustrates how methods can be used to solve real-world MADM problems. Applications covered in the book include:
- AHP to select planning and design services for a construction project
- TOPSIS and VIKOR to evaluate the best alternative-fuel vehicles for urban areas
- ELECTRE to solve network design problems in urban transportation planning
- PROMETEE to set priorities for the development of new energy systems, from solar thermal to hydrogen energy
- Fuzzy integrals to evaluate enterprise intranet web sites
- Rough sets to make decisions in insurance marketing
Helping readers understand how to apply MADM techniques to their decision making, this book is suitable for undergraduate and graduate students as well as practitioners.
A compilation of modern decision-making techniques, this reference focuses on the fuzzy set approach to multiple attribute decision making (MADM). Drawing on their extensive experience, the authors present methods and real-life applications of MADM techniques that can be used in decision analysis. The methods section of the text explains the the
정보제공 :
목차
Introduction. CONCEPTS AND THEORY OF MADM. Analytic Hierarchy Process. Analytic Network Process and Fuzzy Analytic Network Process. Simple Additive Weighting Method. TOPSIS and VIKOR. ELECTRE Method. PROMETHEE Method. Gray Relational Model. Fuzzy Integral Technique. Rough Sets. Structural Model. APPLICATIONS OF MADM. AHP: An Application. A VIKOR Technique with Applications Based on DEMATEL and ANP. TOPSIS and VIKOR: An Application. ELECTRE: An Application. PROMETEE: An Application. Gray Relation: An Application. Fuzzy Integral: An Application. Rough Sets: An Application. Extending the DEMATEL Method for Group Decision Making in Fuzzy Environments. Appendix. References. Index.
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