|
|
|
|
| LEADER |
05273nam a22005655i 4500 |
| 001 |
978-0-387-76813-7 |
| 003 |
DE-He213 |
| 005 |
20210707133324.0 |
| 007 |
cr nn 008mamaa |
| 008 |
100301s2008 xxu| s |||| 0|eng d |
| 020 |
|
|
|a 9780387768137
|9 978-0-387-76813-7
|
| 024 |
7 |
|
|a 10.1007/978-0-387-76813-7
|2 doi
|
| 050 |
|
4 |
|a Q334-342
|
| 072 |
|
7 |
|a UYQ
|2 bicssc
|
| 072 |
|
7 |
|a COM004000
|2 bisacsh
|
| 072 |
|
7 |
|a UYQ
|2 thema
|
| 082 |
0 |
4 |
|a 006.3
|2 23
|
| 245 |
1 |
0 |
|a Fuzzy Multi-Criteria Decision Making
|h [electronic resource] :
|b Theory and Applications with Recent Developments /
|c edited by Cengiz Kahraman.
|
| 250 |
|
|
|a 1st ed. 2008.
|
| 264 |
|
1 |
|a New York, NY :
|b Springer US :
|b Imprint: Springer,
|c 2008.
|
| 300 |
|
|
|a XV, 590 p. 157 illus.
|b online resource.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|b PDF
|2 rda
|
| 490 |
1 |
|
|a Springer Optimization and Its Applications,
|x 1931-6828 ;
|v 16
|
| 505 |
0 |
|
|a Fuzzy MADM Methods and Applications -- Multi-Criteria Decision Making Methods and Fuzzy Sets -- Intelligent Fuzzy Multi-Criteria Decision Making: Review and Analysis -- Fuzzy Analytic Hierarchy Process and its Application -- A SWOT-AHP Application Using Fuzzy Concept: E-Government in Turkey -- Fuzzy Outranking Methods: Recent Developments -- Fuzzy Multi-Criteria Evaluation of Industrial Robotic Systems Using Topsis -- Fuzzy Multi-Attribute Scoring Methods with Applications -- Fuzzy Multi-Attribute Decision Making Using an Information Axiom-Based Approach -- Measurement of Level-of-Satisfaction of Decision Maker in Intelligent Fuzzy-MCDM Theory: A Generalized Approach -- FMS Selection Under Disparate Level-of-Satisfaction of Decision Making Using an Intelligent Fuzzy-MCDM Model -- Simulation Support to Grey-Related Analysis: Data Mining Simulation -- Neuro-Fuzzy Approximation of Multi-Criteria Decision-Making QFD Methodology -- Fuzzy MODM Methods and Applications -- Fuzzy Multiple Objective Linear Programming -- Quasi-Concave and Nonconcave FMODM Problems -- Interactive Fuzzy Multi-Objective Stochastic Linear Programming -- An Interactive Algorithm for Decomposing: The Parametric Space in Fuzzy Multi-Objective Dynamic Programming Problems -- Goal Programming Approaches for Solving Fuzzy Integer Multi-Criteria Decision-Making Problems -- Grey Fuzzy Multi-Objective Optimization -- Fuzzy Multi-Objective Decision-Making Models and Approaches -- Fuzzy Optimization via Multi-Objective Evolutionary Computation for Chocolate Manufacturing -- Multi-Objective Geometric Programming and Its Application in an Inventory Model -- Fuzzy Geometric Programming with Numerical Examples.
|
| 520 |
|
|
|a In trying to make a satisfactory decision when imprecise and multicriteria situations are involved, a decision maker has to use a fuzzy multicriteria decision making method. Fuzzy Multi-Criteria Decision Making (MCDM) presents fuzzy multiattribute and multiobjective decision-making methodologies by distinguished MCDM researchers. In summarizing the concepts and results of the most popular fuzzy multicriteria methods, using numerical examples, this work examines all the fuzzy multicriteria methods recently developed, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, fuzzy multiobjective geometric programming, and more. Each of the 22 chapters includes practical applications along with new developments/results. This book may be used as a textbook in graduate operations research, industrial engineering, and economics courses. It will also be an excellent resource, providing new suggestions and directions for further research, for computer programmers, mathematicians, and scientists in a variety of disciplines where multicriteria decision making is needed.
|
| 650 |
|
0 |
|a Artificial intelligence.
|
| 650 |
|
0 |
|a Operations research.
|
| 650 |
|
0 |
|a Management science.
|
| 650 |
|
0 |
|a Mathematical optimization.
|
| 650 |
|
0 |
|a Applied mathematics.
|
| 650 |
|
0 |
|a Engineering mathematics.
|
| 650 |
1 |
4 |
|a Artificial Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000
|
| 650 |
2 |
4 |
|a Operations Research, Management Science.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M26024
|
| 650 |
2 |
4 |
|a Optimization.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M26008
|
| 650 |
2 |
4 |
|a Mathematical and Computational Engineering.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T11006
|
| 700 |
1 |
|
|a Kahraman, Cengiz.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer Nature eBook
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9780387568485
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9781441945754
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9780387768120
|
| 830 |
|
0 |
|a Springer Optimization and Its Applications,
|x 1931-6828 ;
|v 16
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-0-387-76813-7
|
| 912 |
|
|
|a ZDB-2-SMA
|
| 912 |
|
|
|a ZDB-2-SXMS
|
| 950 |
|
|
|a Mathematics and Statistics (SpringerNature-11649)
|
| 950 |
|
|
|a Mathematics and Statistics (R0) (SpringerNature-43713)
|
