Decision making in manufacturing environment using graph theory and fuzzy multiple attribute decision making methods: 2
<p><i>Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods </i>presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
London [u.a.]
Springer
2013
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Schriftenreihe: | Springer series in advanced manufacturing
Springer series in advanced manufacturing |
Online-Zugang: | BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FWS01 UBY01 Volltext Inhaltsverzeichnis Abstract |
Zusammenfassung: | <p><i>Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods </i>presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIšekriterijumsko KOmpromisno Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realité (ELECTRE), COmplex PRoportional ASsessment (COPRAS), Grey Relational Analysis (GRA), UTility Additive (UTA), and Ordered Weighted Averaging (OWA). </p><p>The existing MADM methods are improved upon and three novel multiple attribute decision making methods for solving the decision making problems of the manufacturing environment are proposed. The concept of integrated weights is introduced in the proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance based approach (WEDBA) to consider both the decision maker’s subjective preferences as well as the distribution of the attributes data of the decision matrix. These methods, which use fuzzy logic to convert the qualitative attributes into the quantitative attributes, are supported by various real-world application examples. Also, computer codes for AHP, TOPSIS, DEA, PROMETHEE, ELECTRE, COPRAS, and SOIW methods are included. </p><p>This comprehensive coverage makes <i>Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods </i>a key reference for the designers, manufacturing engineers, practitioners, managers, institutes involved in both design and manufacturing related projects. It is also an ideal study resource for applied research workers, academicians, and students in mechanical and industrial engineering.</p><p> |
Beschreibung: | <p>1. Multiple Attribute Decision Making in the Manufacturing Environment -- 2. Improved Multiple Attribute Decision Making Methods -- 3. Applications of Improved MADM Methods to the Decision Making Problems of Manufacturing Environment -- 4. A Novel Subjective and Objective Integrated Multiple Attribute Decision Making Method -- 5. A Novel Weighted Euclidean Distance Based Approach -- 6. A Combinatorial Mathematics Based Decision Making Method -- 7. Comparison of Different MADM Methods for Different Decision Making Situations of the Manufacturing Environment -- 8. Concluding Remarks.</p> |
Beschreibung: | 1 Online-Ressource |
ISBN: | 9781447143758 |
DOI: | 10.1007/978-1-4471-4375-8 |
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520 | |a <p><i>Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods </i>presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIšekriterijumsko KOmpromisno Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realité (ELECTRE), COmplex PRoportional ASsessment (COPRAS), Grey Relational Analysis (GRA), UTility Additive (UTA), and Ordered Weighted Averaging (OWA). </p><p>The existing MADM methods are improved upon and three novel multiple attribute decision making methods for solving the decision making problems of the manufacturing environment are proposed. The concept of integrated weights is introduced in the proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance based approach (WEDBA) to consider both the decision maker’s subjective preferences as well as the distribution of the attributes data of the decision matrix. These methods, which use fuzzy logic to convert the qualitative attributes into the quantitative attributes, are supported by various real-world application examples. Also, computer codes for AHP, TOPSIS, DEA, PROMETHEE, ELECTRE, COPRAS, and SOIW methods are included. </p><p>This comprehensive coverage makes <i>Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods </i>a key reference for the designers, manufacturing engineers, practitioners, managers, institutes involved in both design and manufacturing related projects. It is also an ideal study resource for applied research workers, academicians, and students in mechanical and industrial engineering.</p><p> | ||
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adam_text | DECISION MAKING IN MANUFACTURING ENVIRONMENT USING GRAPH THEORY AND
FUZZY MULTIPLE ATTRIBUTE DECISION MAKING METHODS
/ RAO, R. VENKATA
: 2013
TABLE OF CONTENTS / INHALTSVERZEICHNIS
1. MULTIPLE ATTRIBUTE DECISION MAKING IN THE MANUFACTURING ENVIRONMENT
2. IMPROVED MULTIPLE ATTRIBUTE DECISION MAKING METHODS
3. APPLICATIONS OF IMPROVED MADM METHODS TO THE DECISION MAKING PROBLEMS
OF MANUFACTURING ENVIRONMENT
4. A NOVEL SUBJECTIVE AND OBJECTIVE INTEGRATED MULTIPLE ATTRIBUTE
DECISION MAKING METHOD
5. A NOVEL WEIGHTED EUCLIDEAN DISTANCE BASED APPROACH
6. A COMBINATORIAL MATHEMATICS BASED DECISION MAKING METHOD
7. COMPARISON OF DIFFERENT MADM METHODS FOR DIFFERENT DECISION MAKING
SITUATIONS OF THE MANUFACTURING ENVIRONMENT
8. CONCLUDING REMARKS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
DECISION MAKING IN MANUFACTURING ENVIRONMENT USING GRAPH THEORY AND
FUZZY MULTIPLE ATTRIBUTE DECISION MAKING METHODS
/ RAO, R. VENKATA
: 2013
ABSTRACT / INHALTSTEXT
DECISION MAKING IN MANUFACTURING ENVIRONMENT USING GRAPH THEORY AND
FUZZY MULTIPLE ATTRIBUTE DECISION MAKING METHODS PRESENTS THE CONCEPTS
AND DETAILS OF APPLICATIONS OF MADM METHODS. A RANGE OF METHODS ARE
COVERED INCLUDING ANALYTIC HIERARCHY PROCESS (AHP), TECHNIQUE FOR ORDER
PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS), VISEKRITERIJUMSKO
KOMPROMISNO RANGIRANJE (VIKOR), DATA ENVELOPMENT ANALYSIS (DEA),
PREFERENCE RANKING METHOD FOR ENRICHMENT EVALUATIONS (PROMETHEE),
ELIMINATION ET CHOIX TRADUISANT LA REALITE (ELECTRE), COMPLEX
PROPORTIONAL ASSESSMENT (COPRAS), GREY RELATIONAL ANALYSIS (GRA),
UTILITY ADDITIVE (UTA), AND ORDERED WEIGHTED AVERAGING (OWA). THE
EXISTING MADM METHODS ARE IMPROVED UPON AND THREE NOVEL MULTIPLE
ATTRIBUTE DECISION MAKING METHODS FOR SOLVING THE DECISION MAKING
PROBLEMS OF THE MANUFACTURING ENVIRONMENT ARE PROPOSED. THE CONCEPT OF
INTEGRATED WEIGHTS IS INTRODUCED IN THE PROPOSED SUBJECTIVE AND
OBJECTIVE INTEGRATED WEIGHTS (SOIW) METHOD AND THE WEIGHTED EUCLIDEAN
DISTANCE BASED APPROACH (WEDBA) TO CONSIDER BOTH THE DECISION MAKER’S
SUBJECTIVE PREFERENCES AS WELL AS THE DISTRIBUTION OF THE ATTRIBUTES
DATA OF THE DECISION MATRIX. THESE METHODS, WHICH USE FUZZY LOGIC TO
CONVERT THE QUALITATIVE ATTRIBUTES INTO THE QUANTITATIVE ATTRIBUTES, ARE
SUPPORTED BY VARIOUS REAL-WORLD APPLICATION EXAMPLES. ALSO, COMPUTER
CODES FOR AHP, TOPSIS, DEA, PROMETHEE, ELECTRE, COPRAS, AND SOIW METHODS
ARE INCLUDED. THIS COMPREHENSIVE COVERAGE MAKES DECISION MAKING IN
MANUFACTURING ENVIRONMENT USING GRAPH THEORY AND FUZZY MULTIPLE
ATTRIBUTE DECISION MAKING METHODS A KEY REFERENCE FOR THE DESIGNERS,
MANUFACTURING ENGINEERS, PRACTITIONERS, MANAGERS, INSTITUTES INVOLVED IN
BOTH DESIGN AND MANUFACTURING RELATED PROJECTS. IT IS ALSO AN IDEAL
STUDY RESOURCE FOR APPLIED RESEARCH WORKERS, ACADEMICIANS, AND STUDENTS
IN MECHANICAL AND INDUSTRIAL ENGINEERING
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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series2 | Springer series in advanced manufacturing |
spellingShingle | Rao, R. Venkata 1954- Decision making in manufacturing environment using graph theory and fuzzy multiple attribute decision making methods |
title | Decision making in manufacturing environment using graph theory and fuzzy multiple attribute decision making methods |
title_auth | Decision making in manufacturing environment using graph theory and fuzzy multiple attribute decision making methods |
title_exact_search | Decision making in manufacturing environment using graph theory and fuzzy multiple attribute decision making methods |
title_full | Decision making in manufacturing environment using graph theory and fuzzy multiple attribute decision making methods 2 R. Venkata Rao |
title_fullStr | Decision making in manufacturing environment using graph theory and fuzzy multiple attribute decision making methods 2 R. Venkata Rao |
title_full_unstemmed | Decision making in manufacturing environment using graph theory and fuzzy multiple attribute decision making methods 2 R. Venkata Rao |
title_short | Decision making in manufacturing environment using graph theory and fuzzy multiple attribute decision making methods |
title_sort | decision making in manufacturing environment using graph theory and fuzzy multiple attribute decision making methods |
url | https://doi.org/10.1007/978-1-4471-4375-8 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025505341&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025505341&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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