Carlos A. Bana e Costa

Bio: Carlos A. Bana e Costa is an academic researcher from Instituto Superior Técnico. The author has contributed to research in topics: Decision analysis & Multiple-criteria decision analysis. The author has an hindex of 34, co-authored 79 publications receiving 4891 citations. Previous affiliations of Carlos A. Bana e Costa include Technical University of Lisbon & London School of Economics and Political Science.

Readings in Multiple Criteria Decision Aid

Abstract: Introductory Chapter.- Multiple Criteria Decision Aid: An Overview.- I Modelling Decision Situations.- Decision-Aid and Decision-Making.- Action Evaluation and Action Structuring: Different Decision Aid Situations Reviewed Through Two Actual Cases.- Building Criteria: A Prerequisite For MCDA.- Measurement Theory And Decision Aid.- Basic Concepts Of Preference Modelling.- Decision Making In Ill-Structured Environments And With Multiple Criteria.- II The Outranking Approach.- The Outranking Approach And The Foundations Of Electre Methods.- The Construction Of Prescriptions In Outranking Methods.- The Promethee Methods For MCDM The Promcalc, Gaia And Bankadviser Software.- A Pairwise Criterion Comparison Approach: The Mappac And Pragma Methods.- III Value And Utility Theory Approach.- Conjoint Measurement: Theory And Methods.- Multi Criteria Decision Making And The Analytic Hierarchy Process.- Use Of A Simple Multi-Attribute Value Function Incorporating Visual Interactive Sensitivity Analysis For Multiple Criteria Decision Making.- Interactive Assessment Of Preferences Using Holistic Judgments: The Prefcalc System.- An Additive Value Function Technique With A Fuzzy Outranking Relation For Dealing With Poor Intercriteria Preference Information.- Qualitative Multicriteria Methods In The Netherlands.- IV Interactive Multiple Objective Programming.- Interactive Multiple Objective Programming: Concepts, Current Status, And Future Directions.- A Comparison Of Microcomputer Implemented Interactive Molp Methods Based On A Case Study.- The Multiobjective Linear Programming Decision Support System Vig And Its Applications.- A Personal Computer Version Of The MCDA Approach Strange.- Interactive Multifactorial Planning: State Of The Art.- V Group Decision And Negotiation.- An Introduction To Group Decision And Negotiation Support.- Group Decision Making: Methodology And Applications.- Supporting Decision Processes: An Approach And Two Examples.- VI The School Case-Study.- Presentation Of The School Case-Study: Evaluation Of Personnel - How To Rank Officers For Promotion?.- A Report On The Study Of The Portuguese Navy Case.

Transparent prioritisation, budgeting and resource allocation with multi-criteria decision analysis and decision conferencing

Abstract: Managers in both for-profit and not-for-profit organisations continually face the task of allocating resources by balancing costs, benefits and risks and gaining commitment by a wide constituency of stakeholders to those decisions. This task is complex and difficult because many options are present, benefits and risks are rarely expressed as single objectives, multiple stakeholders with different agendas compete for limited resources, individually optimal resource allocations to organisational units are rarely collectively optimal, and those dissatisfied with the decisions taken may resist implementation. We first explain three current approaches to resource allocation taken from corporate finance, operational research and decision analysis, and we identify a common mistake organisations make in allocating resources. The paper then presents a technical process, multi-criteria portfolio analysis, for balancing the conflicting elements of the problem, and a social process, decision conferencing, which engages all the key players during the modelling process, ensuring their ownership of the model and the subsequent implementation. This socio-technical process improves communication within the organisation, develops shared understanding of the portfolio and generates a sense of common purpose about those projects that will best realise the organisation’s objectives. The paper concludes with lessons we have learned from actual practice.

Multiple criteria decision analysis: state of the art surveys

Abstract: In two volumes, this new edition presents the state of the art in Multiple Criteria Decision Analysis (MCDA). Reflecting the explosive growth in the field seen during the last several years, the editors not only present surveys of the foundations of MCDA, but look as well at many new areas and new applications. Individual chapter authors are among the most prestigious names in MCDA research, and combined their chapters bring the field completely up to date. Part I of the book considers the history and current state of MCDA, with surveys that cover the early history of MCDA and an overview that discusses the “pre-theoretical” assumptions of MCDA. Part II then presents the foundations of MCDA, with individual chapters that provide a very exhaustive review of preference modeling, along with a chapter devoted to the axiomatic basis of the different models that multiple criteria preferences. Part III looks at outranking methods, with three chapters that consider the ELECTRE methods, PROMETHEE methods, and a look at the rich literature of other outranking methods. Part IV, on Multiattribute Utility and Value Theories (MAUT), presents chapters on the fundamentals of this approach, the very well known UTA methods, the Analytic Hierarchy Process (AHP) and its more recent extension, the Analytic Network Process (ANP), as well as a chapter on MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique). Part V looks at Non-Classical MCDA Approaches, with chapters on risk and uncertainty in MCDA, the decision rule approach to MCDA, the fuzzy integral approach, the verbal decision methods, and a tentative assessment of the role of fuzzy sets in decision analysis. Part VI, on Multiobjective Optimization, contains chapters on recent developments of vector and set optimization, the state of the art in continuous multiobjective programming, multiobjective combinatorial optimization, fuzzy multicriteria optimization, a review of the field of goal programming, interactive methods for solving multiobjective optimization problems, and relationships between MCDA and evolutionary multiobjective optimization (EMO). Part VII, on Applications, selects some of the most significant areas, including contributions of MCDA in finance, energy planning problems, telecommunication network planning and design, sustainable development, and portfolio analysis. Finally, Part VIII, on MCDM software, presents well known MCDA software packages.

GIS‐based multicriteria decision analysis: a survey of the literature

Abstract: The integration of GIS and multicriteria decision analysis has attracted significant interest over the last 15 years or so This paper surveys the GIS‐based multicriteria decision analysis (GIS‐MCDA) approaches using a literature review and classification of articles from 1990 to 2004 An electronic search indicated that over 300 articles appeared in refereed journals The paper provides taxonomy of those articles and identifies trends and developments in GIS‐MCDA

Multiple criteria decision making

Abstract: In this Chapter, we imagine a decision maker (or a group of experts) trying to establish or examine fair procedures to combine opinions about alternatives related to different points of view.

Review of the main developments in the analytic hierarchy process

Abstract: In this paper the authors review the developments of the analytic hierarchy process (AHP) since its inception. The focus of this paper is a neutral review on the methodological developments rather than reporting its applications that have appeared since its introduction. In particular, we discuss problem modelling, pair-wise comparisons, judgement scales, derivation methods, consistency indices, incomplete matrix, synthesis of the weights, sensitivity analysis and group decisions. All have been important areas of research in AHP.