Rough Multiple Objective Decision Making

Xu, Jiuping; Tao, Zhimiao

ISBN 10: 143987235X / ISBN 13: 9781439872352

Editore: Chapman and Hall/CRC, 2011

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Codice articolo ABLIING23Mar2411530278410

Dati bibliografici

Titolo: Rough Multiple Objective Decision Making

Casa editrice: Chapman and Hall/CRC

Data di pubblicazione: 2011

Legatura: Rilegato

Condizione: New

Descrizione articolo

Riassunto:

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.

Contenuti:

Rough Set Theory

Basic concepts and properties of rough sets

Rough Membership

Rough Intervals

Rough Function

Applications of Rough Sets

Multiple Objective Rough Decision Making

Reverse Logistics Problem with Rough Interval Parameters

MODM based Rough Approximation for Feasible Region

EVRM

CCRM

DCRM

Reverse Logistics Network Design Problem of Suji Renewable Resource Market

Bilevel Multiple Objective Rough Decision Making

Hierarchical Supply Chain Planning Problem with Rough Interval Parameters

Bilevel Decision Making Model

BL-EVRM

BL-CCRM

BL-DCRM

Application to Supply Chain Planning of Mianyang Co., Ltd

Stochastic Multiple Objective Rough Decision

Multi-Objective Resource-Constrained Project Scheduling Under

Rough Random Environment

Random Variable

Stochastic EVRM

Stochastic CCRM

Stochastic DCRM

Multi-Objective rc-PSP/mM/Ro-Ra for Longtan Hydropower Station

Fuzzy Multiple Objective Rough Decision Making

Allocation Problem under Fuzzy Environment

Fuzzy Variable

Fu-EVRM

Fu-CCRM

Fu-DCRM

Earth-Rock Work Allocation Problem