Carlos Romero (Madrid, 1946) is a Spanish academic who specializes in the field of economic optimization chiefly by using multi-criteria programming methods, concretely goal programming methods. In 2006, the International Society on Multiple Criteria Decision Making awarded him the Georg Cantor Medal. [1]
Romero was born in Madrid. He has a bachelor's degree in agricultural sciences, an MS in agricultural engineering and a PhD in agricultural economics, all of them from the Technical University of Madrid, and an MS in statistics and operational research bestowed by the Universidad Complutense of Madrid. He is currently a professor of economics at the Technical University of Madrid. He was formerly professor of agricultural economics at University of Córdoba (Spain). He has been visiting professor at several universities like: Reading, Portsmouth, Wageningen, Humboldt, etc. He has given short courses and seminars in around 40 universities and research centres in more than 30 countries.
Romero is author, co-author or co-editor of 21 books and around 220 papers (around 100 of them appearing in the ISI data basis) with an optimization orientation and an interdisciplinary perspective that combines engineering, economics and applied mathematics. The research impact of his work implies an h-index of 30 (ISI data basis) [2] and an h-index of 47 (Google Scholar).
His book Handbook of Critical Issues in Goal Programming (Pergamon Press, 1991) and his paper "Goal Programming for Decision Making" (with Mehrdad Tamiz and Dylan Jones, European Journal of Operational Research, 1998), have had and still have a strong influence in the optimization field. His monograph Multiple Criteria Analysis for Agricultural Decisions (with T. Rehman, Elsevier 1989, 2003) is a work of reference for optimizing the use of the natural resources.
A sample of Romero´s books include:
Operations research, often shortened to the initialism OR, is a discipline that deals with the application of advanced analytical methods to help make better decisions. The term operational analysis is used in the British military as an intrinsic part of capability development, management and assurance. Operational analysis forms part of the Combined Operational Effectiveness and Investment Appraisals, which support British defence capability acquisition decision-making.
Thomas L. Saaty was a Distinguished University Professor at the University of Pittsburgh, where he taught in the Joseph M. Katz Graduate School of Business. He is the inventor, architect, and primary theoretician of the Analytic Hierarchy Process (AHP), a decision-making framework used for large-scale, multiparty, multi-criteria decision analysis, and of the Analytic Network Process (ANP), its generalization to decisions with dependence and feedback. Later on, he generalized the mathematics of the ANP to the Neural Network Process (NNP) with application to neural firing and synthesis but none of them gain such popularity as AHP.
Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making. Conflicting criteria are typical in evaluating options: cost or price is usually one of the main criteria, and some measure of quality is typically another criterion, easily in conflict with the cost. In purchasing a car, cost, comfort, safety, and fuel economy may be some of the main criteria we consider – it is unusual that the cheapest car is the most comfortable and the safest one. In portfolio management, managers are interested in getting high returns while simultaneously reducing risks; however, the stocks that have the potential of bringing high returns typically carry high risk of losing money. In a service industry, customer satisfaction and the cost of providing service are fundamental conflicting criteria.
Goal programming is a branch of multiobjective optimization, which in turn is a branch of multi-criteria decision analysis (MCDA). It can be thought of as an extension or generalisation of linear programming to handle multiple, normally conflicting objective measures. Each of these measures is given a goal or target value to be achieved. Deviations are measured from these goals both above and below the target. Unwanted deviations from this set of target values are then minimised in an achievement function. This can be a vector or a weighted sum dependent on the goal programming variant used. As satisfaction of the target is deemed to satisfy the decision maker(s), an underlying satisficing philosophy is assumed. Goal programming is used to perform three types of analysis:
Multi-objective optimization is an area of multiple criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously. Multi-objective optimization has been applied in many fields of science, including engineering, economics and logistics where optimal decisions need to be taken in the presence of trade-offs between two or more conflicting objectives. Minimizing cost while maximizing comfort while buying a car, and maximizing performance whilst minimizing fuel consumption and emission of pollutants of a vehicle are examples of multi-objective optimization problems involving two and three objectives, respectively. In practical problems, there can be more than three objectives.
Decision-making software is software for computer applications that help individuals and organisations make choices and take decisions, typically by ranking, prioritizing or choosing from a number of options.
David Ríos Insua is a Spanish mathematician, and son and disciple of Sixto Ríos, the "father of Spanish statistics." He is currently also the youngest Fellow of the Spanish Royal Academy of Sciences, which he joined in 2008. He received a PhD in Computational Sciences at the University of Leeds. He is Full Professor of the Statistics and Operations Research Department at Rey Juan Carlos University (URJC), and he has been Vice-dean of New Technologies and International Relationships at URJC (2002–2009). He has worked in fields such as Bayesian inference in neuronal networks, MCMC methods in decision analysis, Bayesian robustness or adversarial risk analysis. He has also worked in applied areas such as Electronic Democracy, reservoirs management, counterterrorism model and many others. He is married and has two daughters.
Jock Robert Anderson is an Australian agricultural economist, specialising in agricultural development economics, risk and decision theory, and international rural development policy. Born in Monto, Queensland, he studied at the University of Queensland, attaining bachelor's and master's degrees in agricultural science. After graduation, Anderson joined the Faculty of Agricultural Economics at the University of New England. At New England, he focused on research in farm management, risk, and uncertainty and received a doctor of philosophy in economics in 1970. In 1977, Anderson co-authored a book, Agricultural Decision Analysis, which has served as an influential source on risk and decision analysis for agricultural economics researchers and the agricultural industry.
The European Working Group on Multiple Criteria Decision Aiding is a working group whose objective is to promote original research in the field of multicriteria decision aiding at the European level.
Kaisa Miettinen is a Finnish mathematician and the former vice rector of the University of Jyväskylä in Finland. She is a professor of industrial optimization with the Faculty of Information Technology, University of Jyväskylä, Finland. In addition, she heads the Multiobjective Optimization Group.
The VIKOR method is a multi-criteria decision making (MCDM) or multi-criteria decision analysis method. It was originally developed by Serafim Opricovic to solve decision problems with conflicting and noncommensurable criteria, assuming that compromise is acceptable for conflict resolution, the decision maker wants a solution that is the closest to the ideal, and the alternatives are evaluated according to all established criteria. VIKOR ranks alternatives and determines the solution named compromise that is the closest to the ideal.
Milan Zeleny (born January 22, 1942) is a Czech American economist, currently a Professor of Management Systems at Fordham University, New York City. He has done research in the field of decision-making, productivity, knowledge management, and business economics. Zeleny is also a visiting professor at the Tomas Bata University in Zlín, Czech Republic, and has been Academic Vice Dean and Professor at Xidian University in Xi’an, China. He is a Distinguished Visiting Professor at Fu Jen Catholic University in Taipei in 2006, at the Indian Institute of Technology in Kanpur in 2007, and at IBMEC in Rio de Janeiro in 2009–10. For many years he has lectured at the Faculty of Architecture, University of Naples.
This is an incomplete list of selected academic publications by Milan Zeleny, sorted by different disciplines and research areas.
Measuring attractiveness through a categorical-based evaluation technique (MACBETH) is a multiple-criteria decision analysis (MCDA) method that evaluates options against multiple criteria.
Decision conferencing is a common approach in decision analysis. It is a socio-technical process to engage key players in solving an issue of concern by (1) developing a shared understanding of the issue, (2) creating a sense of common purpose, and (3) generating a commitment to the way forward. It consists in a series of working meetings, called 'decision conferences'. During a decision conference an impartial facilitator helps participants in developing a formal model of the problem on-the-go.
Valerie "Val" Belton is a British professor of management science and operations research at the University of Strathclyde.
Behnam Malakooti, is Professor of Systems Engineering of Department of Electrical Engineering and Computer Science at the Case Western Reserve University (CWRU), OH, USA. He has been affiliated with CWRU since 1982. He is a pioneer researcher in risk, Operations Management, Manufacturing Systems, multiple criteria optimization. He developed artificial neural networks for predicting decision-making behavior for out-of-sample data. He also pioneered the theory of multiple-objective optimization for solving decision making, operations and manufacturing systems, machinability of materials, Artificial Neural Networks, facility layout, and group technology and clustering.
Ismat Beg, FPAS, FIMA, is a Pakistani mathematician and researcher. Beg is a senior Full Professor at the Lahore School of Economics, Higher Education Commission Distinguished National Professor and an honorary full professor at the Mathematics Division of the Institute for Basic Research, Florida, US.
Cathal MacSwiney Brugha is an Irish decision scientist, the Emeritus Professor of Decision Analytics at University College Dublin's College of Business. He has applied his main field of nomology to multi-criteria decision-making, conflict resolution, protecting endangered languages, decision-making in rural Tanzania, strategy in China, and Irish politics. He is President of the Analytics Society of Ireland. His main research projects have been in Europe, Asia and Africa.
Kathrin Klamroth is a German mathematician and computer scientist whose research topics include combinatorial optimization and facility location. She is a professor in the department of mathematics and computer science at the University of Wuppertal.
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