Focusing on the methodologies and applications of this eld, Fuzzy
Multiple Objective Decision Making presents mathematical tools
for complex decision making. The rst part of the book introduces
the most popular methods used to calculate the solution of multi-
objective programming in the eld of multiple objective decision
making (MODM). The authors describe multi-objective evolutionary
algorithms; expand de novo programming to changeable spaces,
such as decision and objective spaces; and cover network data
envelopment analysis. The second part focuses on various
applications, giving readers a practical, in-depth understanding of
MODM.
A follow-up to the authors’ Multiple Attribute Decision Making:
Methods and Applications, this book guides you in using MODM
methods to make effective decisions. It also extends your knowledge
of the methods and provides you with the foundation to publish
papers in operations research and management science journals.
Features
Discusses popular concepts and theories of MODM, such as
multi-objective evolutionary algorithms and goal programming
and compromise solutions
Shows how de novo programming can reallocate or reshape
available resources to eliminate trade-offs between objectives
Introduces multi-stage and multi-level programming for solving
network and hierarchical MODM problems
Presents data envelopment analysis for evaluating the
efciency of decision-making units based on input and output
data
Covers many applications of MODM, including strategic
alliances, supply chain management, portfolio selection,
optimal planning and design of systems, and production
efciency
K15327
Fuzzy
Multiple
Objective
Decision
Making
Fuzzy Multiple Objective
Decision Making
Gwo-Hshiung Tzeng
Jih-Jeng Huang
Tzeng Huang
Mathematics
K15327_Cover.indd 1 6/11/13 9:55 AM

Get Fuzzy Multiple Objective Decision Making now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.