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This book presents a broad range of innovative applications and case studies in all areas of management and engineering, including public administration, finance, marketing, engineering, transportation, and energy systems. It addresses issues related to problem structuring, preference modeling, and model construction, presenting a framework that provides clear decision-making support in practice. In addition, it includes hybrid and integrated techniques combining multiple criteria decision making (MCDM) with other analytical methods. The book reflects the growing impact of MCDM in the field of management science and operations research. Building on recent and established theoretical advances and presenting their applications in specific domains, it offers a comprehensive resource for researchers, graduate students and professionals alike.

This book provides a concise introduction into the fundamentals and applied techniques of multiple criteria decision making in the finance sector. Based onan analysis of the nature of financial decisions and the general methods of financial modelling, risk management and financial engineering, the book introduces into portfolio management, banking management and credit scoring. Finally the book presents an overview of further applications of multi criteria analysis in finance and gives an outlook on future perspectives for the application of MCDA in finance.

AbstractOver the past decades the complexity of financial decisions has increased rapidly, thus highlighting the importance of developing and implementing sophisticated and efficient quantitative analysis techniques for supporting and aiding financial decision making. Multi‐criteria decision aid (MCDA), an advanced field of operations research, provides financial decision makers (DMs) and analysts a wide range of methodologies, which are well suited to the complexity of financial decision problems. The aim of this paper is to provide an in‐depth presentation of the contributions of MCDA in the field of finance, focusing on the methods used and their real‐world applications. Copyright © 2003 John Wiley & Sons, Ltd.

2. Literature Review2.1. Prior Research on Operating and Maintenance Costs; 2.2. Containerships and Their Costs; 3. Hypotheses; 3.1. Age; 3.2. Size; 3.3. Stay Days; 3.4. Market Conditions; 3.5. Owners' Negotiating Capacity; 4. Data and Methodology; 4.1. Data Collected; 4.2. Methodology; 5. Discussion of Results; Conclusion; References; Chapter 6: Discounted Cash Flows through Expertons in Business Valuation Process; Abstract; 1. Introduction; 2. Preliminaries; 2.1. Literature Review in Business Valuation; 2.2. Fuzzy Methodology in Business Valuation; 3. Fuzzy Methodology for Uncertainty.

ABSTRACTThis paper presents a real application of a multicriteria decision aid (MCDA) approach to portfolio selection based on preference disaggregation, using ordinal regression and linear programming (UTADIS method; UTilités Additives DIScriminantes). The additive utility functions that are derived through this approach have the extrapolation ability that any new alternative (share) can be easily evaluated and classified into one of several user‐predefined groups. The procedure is illustrated with a case study of 98 stocks from the Athens stock exchange, using 15 criteria. The results are encouraging, indicating that the proposed methodology could be used as a tool for the analysis of the portfolio managers' preferences and choices. Furthermore, the comparison with multiple discriminant analysis (either using a stepwise procedure or not) illustrates the superiority of the proposed methodology over a well‐known multivariate statistical technique that has been extensively used to study financial decision‐making problems.