This volume highlights recent applications of multiple-criteria decision-making (MCDM) models in the field of finance. Covering a wide range of MCDM approaches, including multiobjective optimization, goal programming, value-based models, outranking techniques, and fuzzy models, it provides researchers and practitioners with a set of MCDM methodologies and empirical results in areas such as portfolio management, investment appraisal, banking, and corporate finance, among others. The book addresses issues related to problem structuring and modeling, solution techniques, comparative analyses, as well as combinations of MCDM models with other analytical methodologies.
Provides precise yet concise information on multiple-criteria models and their use in the fields of finance
Presents real-world studies for researchers and practitioners to understand the benefit from multiple-criteria decision models
Covers a wide range of MCDM approaches, including multiobjective optimization, goal programming and fuzzy models
Provides precise yet concise information on multiple-criteria models and their use in the fields of finance Presents real-world studies for researchers and practitioners to understand the benefit from multiple-criteria decision models Covers a wide range of MCDM approaches, including multiobjective optimization, goal programming and fuzzy models
Hatem Masri
multiple objective programming in finance multiple objective stochastic programming multiple objective fuzzy programming multiple criteria decision model financial decision making MCDM case study quantitative finance