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Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods - Volume 2 (Paperback, 2013 ed.)
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Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods - Volume 2 (Paperback, 2013 ed.)
Series: Springer Series in Advanced Manufacturing
Expected to ship within 10 - 15 working days
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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.
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