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The aspiration level interactive method (AIM) reconsidered: Robustness of solutions
Institution:1. Desert Research Institute, 2215 Raggio Pkwy, Reno, NV 89512, USA;2. TSI Inc., 500 Cardigan Road, Shoreview, MN 55126, USA;3. University of Minnesota, 111 Church St SE, Minneapolis, MN 55455, USA;1. Division of Vascular Surgery, Department of Surgery, University at Buffalo, State University of New York, Buffalo, NY;2. Division of Vascular Surgery, Buffalo General Medical Center, Kaleida Health, Buffalo, NY;1. School of Allied Health, Faculty of Health Sciences, Australian Catholic University, Level 2, Daniel Mannix Building, 17 Young Street, Fitzroy, Victoria 3065, Australia;2. Royal Adelaide Hospital, North Terrace, Adelaide, South Australia 5000, Australia;3. School of Health Sciences, Faculty of Health, Arts and Design, Swinburne University of Technology, John Street, Hawthorn, Victoria 3122, Australia;4. Discipline of Public Health, School of Population Health, The University of Adelaide, North Terrace, Adelaide, South Australia 5000, Australia;1. Université de Lyon, F-42023 Saint Etienne, France;2. Université de Saint Etienne, Jean Monnet, F-42000 Saint-Etienne, France;3. LASPI, F-42334 IUT de Roanne, France;4. Faculty of Behavioural, Management and Social Sciences, Dep. Industrial Engineering and Business Information Systems, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands;5. Ecole Nationale des Sciences Appliquées – Marrakech, Laboratoire du Génie Electrique et Conception des Systèmes (LGECOS), Marrakech, Morocco;1. Division of General Internal Medicine and Public Health, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States;2. Veterans Health Administration-Tennessee Valley Healthcare System Geriatric Research Education Clinical Center (GRECC), HSR&D Center, Nashville, TN, United States;3. Center for Health Services Research, Vanderbilt University Medical Center, Nashville, TN, United States;4. Center for Clinical Quality and Implementation Research, Vanderbilt University Medical Center, Nashville, TN, United States;5. Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States;6. Vanderbilt Translational and Clinical Cardiovascular Research Center (VTRACC), Vanderbilt University Medical Center, Nashville, TN, United States
Abstract:In this paper we explore theory and practice for the aspiration-level interactive model (AIM), a useful decision tool that takes advantage of the concepts of satisficing as well as other concepts of multiple criteria decision making (MCDM). We examine the relationship between aspiration levels and their mapped-to solutions in the MCDM context using AIM.We extend the concept of robustness in decision making, by defining a solution to be robust if many (suitably defined) aspiration levels map to it. We use simulation to help explore robustness, by generating three groups of random test problems. Each problem has twenty alternatives. For each group of problems, the top 5 (most-mapped-to) alternatives out of 20 are mapped to by at least 50% of the aspiration levels. We also relate the concept of robustness in decision making to the ideas of simply ranking alternatives using equal weights. There is a strong correlation between the robustness ranking and the equal-weights ranking. Based on our analyses, we then randomly generate additional problems to explore certain other factors. We also discuss practical aspects of robustness.
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