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Rough Multiple Objective Decision Making (Paperback)
Loot Price: R2,361
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Rough Multiple Objective Decision Making (Paperback)
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Under intense scrutiny for the last few decades, Multiple Objective
Decision Making (MODM) has been useful for dealing with the
multiple-criteria decisions and planning problems associated with
many important applications in fields including management science,
engineering design, and transportation. Rough set theory has also
proved to be an effective mathematical tool to counter the vague
description of objects in fields such as artificial intelligence,
expert systems, civil engineering, medical data analysis, data
mining, pattern recognition, and decision theory. Rough Multiple
Objective Decision Making is perhaps the first book to combine
state-of-the-art application of rough set theory, rough
approximation techniques, and MODM. It illustrates traditional
techniques-and some that employ simulation-based intelligent
algorithms-to solve a wide range of realistic problems. Application
of rough theory can remedy two types of uncertainty (randomness and
fuzziness) which present significant drawbacks to existing
decision-making methods, so the authors illustrate the use of rough
sets to approximate the feasible set, and they explore use of rough
intervals to demonstrate relative coefficients and parameters
involved in bi-level MODM. The book reviews relevant literature and
introduces models for both random and fuzzy rough MODM, applying
proposed models and algorithms to problem solutions. Given the
broad range of uses for decision making, the authors offer
background and guidance for rough approximation to real-world
problems, with case studies that focus on engineering applications,
including construction site layout planning, water resource
allocation, and resource-constrained project scheduling. The text
presents a general framework of rough MODM, including basic theory,
models, and algorithms, as well as a proposed methodological system
and discussion of future research.
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