Mcdm

Multi-Criteria Decision Making (Mcdm) Using Matlab And Excel  eBooks & eLearning

Posted by ELK1nG at Sept. 6, 2022
Multi-Criteria Decision Making (Mcdm) Using Matlab And Excel

Multi-Criteria Decision Making (Mcdm) Using Matlab And Excel
Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.16 GB | Duration: 12h 0m

Learn how to implement different approaches using Microsoft Excel and Matlab programming to solve MCDM problems

Multi-Criteria Decision Making (Mcdm) Using Matlab And Excel  eBooks & eLearning

Posted by ELK1nG at Sept. 7, 2023
Multi-Criteria Decision Making (Mcdm) Using Matlab And Excel

Multi-Criteria Decision Making (Mcdm) Using Matlab And Excel
Published 9/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.08 GB | Duration: 13h 1m

Learn how to implement different approaches using Microsoft Excel and Matlab language programming to solve real-world M

New State of MCDM in the 21st Century [Repost]  eBooks & eLearning

Posted by ChrisRedfield at May 27, 2013
New State of MCDM in the 21st Century [Repost]

Yong Shi, Shouyang Wang, Gang Kou, Jyrki Wallenius - New State of MCDM in the 21st Century
Published: 2011-06-21 | ISBN: 3642196942 | PDF | 224 pages | 3 MB

New State of MCDM in the 21st Century (repost)  eBooks & eLearning

Posted by interes at Jan. 11, 2015
New State of MCDM in the 21st Century (repost)

New State of MCDM in the 21st Century: Selected Papers of the 20th International Conference on Multiple Criteria Decision Making 2009 (Lecture Notes in Economics and Mathematical Systems) by Yong Shi and Shouyang Wang
English | 2011-06-21 | ISBN: 3642196942 | PDF | 224 pages | 2,7 MB
Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory, and Applications

Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory, and Applications By Bernard Roy (auth.), Tomas Gal, Theodor J. Stewart, Thomas Hanne (eds.)
1999 | 538 Pages | ISBN: 1461372836 | PDF | 12 MB

FMEA Using Uncertainty Theories and MCDM Methods  eBooks & eLearning

Posted by roxul at May 31, 2018
FMEA Using Uncertainty Theories and MCDM Methods

Liu, Hu-Chen, "FMEA Using Uncertainty Theories and MCDM Methods"
English | 2016 | ISBN-10: 9811014655 | 219 pages | EPUB | 3 MB

FMEA Using Uncertainty Theories and MCDM Methods  eBooks & eLearning

Posted by Underaglassmoon at May 25, 2016
FMEA Using Uncertainty Theories and MCDM Methods

FMEA Using Uncertainty Theories and MCDM Methods
Springer | Production & Process Engineering | June 24, 2016 | ISBN-10: 9811014655 | 219 pages | pdf | 3.75 mb

Authors: Liu, Hu-Chen
The first book on the improvements of traditional failure mode and effect analysis (FMEA)
Introduces novel FMEA models based on uncertainty theories and multi-criteria decision-making (MCDM) methods
Shares a wealth of concrete examples to illustrate the benefits of the enhanced FMEA models

FMEA Using Uncertainty Theories and MCDM Methods [Repost]  eBooks & eLearning

Posted by Free butterfly at Sept. 21, 2019
FMEA Using Uncertainty Theories and MCDM Methods [Repost]

FMEA Using Uncertainty Theories and MCDM Methods
English | 2010 | ISBN: 0756661668 | 66 pages | PDF | 16 Mb
| 2016 | ISBN: 9811014655 | 218 pages | PDF | 3.75 Mb
Multicriteria Analysis: Proceedings of the XIth International Conference on MCDM, 1–6 August 1994, Coimbra, Portugal

Multicriteria Analysis: Proceedings of the XIth International Conference on MCDM, 1–6 August 1994, Coimbra, Portugal By Prof. João Clímaco, C. H. Antunes (auth.), Prof. João Clímaco (eds.)
1997 | 617 Pages | ISBN: 3642645003 | PDF | 23 MB

TOPSIS and its Extensions: A Distance-Based MCDM Approach  eBooks & eLearning

Posted by AvaxGenius at Sept. 10, 2022
TOPSIS and its Extensions: A Distance-Based MCDM Approach

TOPSIS and its Extensions: A Distance-Based MCDM Approach by Hsu-Shih Shih, David L. Olson
English | PDF,EPUB | 2022 | 230 Pages | ISBN : 3031095766 | 12.4 MB

The objective of the book is to provide materials to demonstrate the development of TOPSIS and to serve as a handbook. It contains the basic process of TOPSIS, numerous variant processes, property explanations, theoretical developments, and illustrative examples with real-world cases. Possible readers would be graduate students, researchers, analysts, and professionals who are interested in TOPSIS, a distance-based algorithm, and who would like to compare TOPSIS with other MCDM methods. The book serves as a research reference as well as a self-learning book with step-by-step illustrations for the MCDM community.