Large Scale Bi-Level Multi-Objective Decision Making
TOPSIS Approach
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This book consists of five chapters. Chapter (1) presents a survey on the theory and applications of Bi-Level Multiple Criteria Decision Making (BL-MCDM) problems, Multi-level Multiple Criteria Decision Making (ML-MCDM) problems and TOPSIS approach in section (1-2). Section (1-3) contains a review on the software of problems in section (1-2).In chapter (2), TOPSIS was extended for solving Large Scale Bi-level Linear Multiple Objective Programming (LS-BL-LMOP) problems. In chapter (3), TOPSIS was extended for solving a special type of Bi-Level Integer Linear Multiple Objectives Decision Making ...
This book consists of five chapters. Chapter (1) presents a survey on the theory and applications of Bi-Level Multiple Criteria Decision Making (BL-MCDM) problems, Multi-level Multiple Criteria Decision Making (ML-MCDM) problems and TOPSIS approach in section (1-2). Section (1-3) contains a review on the software of problems in section (1-2).In chapter (2), TOPSIS was extended for solving Large Scale Bi-level Linear Multiple Objective Programming (LS-BL-LMOP) problems. In chapter (3), TOPSIS was extended for solving a special type of Bi-Level Integer Linear Multiple Objectives Decision Making (ST-BL-IL MODM) Problems with block angular structure. Chapter (4) extended TOPSIS method for solving Bi-Level Large Scale Linear Multi-objective Optimization Problems with Stochastic Parameters in the right- hand side of the constraints (BL-LSLMOP-SP)rhs of block angular structure. Chapter (5) extended TOPSIS for solving Large Scale Bi-level Linear Multiple Objective Programming (LS-BL-LMOP) problems with fuzzy parameters in the right-hand side of the independent constraints.
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