An Interactive Framework for Multi-Person, Multiobjective Decisions
ABSTRACT Group decision making in the presence of multiple conflicting objectives is complex and difficult. This paper describes and evaluates an iterative technique to facilitate multiple objective decision making by multiple decision makers. The proposed method augments an interactive multiobjecti...
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| Published in | Decision sciences Vol. 24; no. 1; pp. 1 - 22 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford, UK
Blackwell Publishing Ltd
01.01.1993
American Institute for Decision Sciences |
| Subjects | |
| Online Access | Get full text |
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| Abstract | ABSTRACT
Group decision making in the presence of multiple conflicting objectives is complex and difficult. This paper describes and evaluates an iterative technique to facilitate multiple objective decision making by multiple decision makers. The proposed method augments an interactive multiobjective optimization procedure with a preference ranking tool and a consensus ranking heuristic. Two multiple objective linear programming (MOLP) solution approaches, the SIMOLP method of Reeves and Franz [39] and the interactive weighted Tchebycheff procedure of Steuer and Choo [49], are recommended optimization strategies to be used independently or in concert. Computational experience suggests that the proposed framework is an effective decision‐making tool. The procedure quickly located excellent compromise solutions in a series of test problems with hypothetical decision makers. In addition, human decision makers gave positive evaluations of the procedure and the production plans the procedure provided for a resource allocation case problem. |
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| AbstractList | Group decision making in the presence of multiple conflicting objectives is complex and difficult. This paper describes and evaluates an iterative technique to facilitate multiple objective decision making by multiple decision makers. The proposed method augments an interactive multiobjective optimization procedure with a preference ranking tool and a consensus ranking heuristic. Two multiple objective linear programming (MOLP) solution approaches, the SIMOLP method of Reeves and Franz [39] and the interactive weighted Tchebycheff procedure of Steuer and Choo [49], are recommended optimization strategies to be used independently or in concert. Computational experience suggests that the proposed framework is an effective decision‐making tool. The procedure quickly located excellent compromise solutions in a series of test problems with hypothetical decision makers. In addition, human decision makers gave positive evaluations of the procedure and the production plans the procedure provided for a resource allocation case problem. ABSTRACT Group decision making in the presence of multiple conflicting objectives is complex and difficult. This paper describes and evaluates an iterative technique to facilitate multiple objective decision making by multiple decision makers. The proposed method augments an interactive multiobjective optimization procedure with a preference ranking tool and a consensus ranking heuristic. Two multiple objective linear programming (MOLP) solution approaches, the SIMOLP method of Reeves and Franz [39] and the interactive weighted Tchebycheff procedure of Steuer and Choo [49], are recommended optimization strategies to be used independently or in concert. Computational experience suggests that the proposed framework is an effective decision‐making tool. The procedure quickly located excellent compromise solutions in a series of test problems with hypothetical decision makers. In addition, human decision makers gave positive evaluations of the procedure and the production plans the procedure provided for a resource allocation case problem. Group decision making in the presence of multiple conflicting objectives is complex and difficult. This study describes and evaluates an iterative technique to facilitate multiple objective decision making by multiple decision makers. The proposed method augments an interactive multiobjective optimization procedure with a preference ranking tool and a consensus ranking heuristic. Two multiple objective linear programming (MOLP) solution approaches, the SIMOLP method of Reeves and Franz and the interactive weighted Tchebycheff procedure of Steuer and Choo, are recommended optimization strategies to be used independently or in concert. Computational experience suggests that the proposed framework is an effective decision-making tool. The procedure quickly located excellent compromise solutions in a series of test problems with hypothetical decision makers. |
| Author | Butler, Timothy W. Lewis, Holly S. |
| Author_xml | – sequence: 1 givenname: Holly S. surname: Lewis fullname: Lewis, Holly S. organization: 303 Beam Business Administration Building, The Smeal College of Business Administration, The Pennsylvania State University, University Park, PA 16802 – sequence: 2 givenname: Timothy W. surname: Butler fullname: Butler, Timothy W. organization: Department of Finance and Business Economics, School of Business Administration, Wayne State University, Detroit, MI 48202 |
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| DOI | 10.1111/j.1540-5915.1993.tb00459.x |
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| Notes | istex:8C7A5ED575E166AD443F14FB3041A645CD6409B0 ark:/67375/WNG-T6DN4M95-6 ArticleID:DECI1 Holly S. Lewis is Assistant Professor of Management Science at The Pennsylvania State University. She received her Ph.D. in business administration from the University of South Carolina and her M.B.A. and B.S. from Virginia Polytechnic Institute and State University. Her research interests include mathematical programming and operations management. Dr. Lewis has published articles in several journals including Decision Sciences, Interfaces, Journal of the Operational Research Society, and OMEGA She is a member of the Decision Sciences Institute, ORSA, and TIMS. IIET Transactions and the Journal of rhe Operational Research Society He is a member of the Decision Sciences Institute and TIMS, and he is serving as president of the Southeastern Michigan Joint Chapter of ORSA/TIMS. Timothy W. Butler is an Assistant Professor in the School of Business Administration at Wayne State University. He received a B.B.A. and M.B.A. from Memphis State University and his Ph.D. in business administration from the University of South Carolina. His research interests include health care operations, multiple objective decision making and simulation analysis. Dr. Butler has published in several journals including |
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| Publisher | Blackwell Publishing Ltd American Institute for Decision Sciences |
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(e_1_2_1_49_2) 1989 e_1_2_1_58_2 e_1_2_1_8_2 Marglin S. (e_1_2_1_34_2) 1967 e_1_2_1_40_2 e_1_2_1_23_2 Anderson D. (e_1_2_1_3_2) 1991 e_1_2_1_21_2 e_1_2_1_42_2 Schermerhorn J. (e_1_2_1_44_2) 1991 e_1_2_1_27_2 e_1_2_1_25_2 e_1_2_1_29_2 Hwang C. (e_1_2_1_28_2) 1977 Arrow K. J. (e_1_2_1_4_2) 1951 Steuer R. E. (e_1_2_1_48_2) 1986 e_1_2_1_30_2 e_1_2_1_53_2 e_1_2_1_7_2 Cohon J. L. (e_1_2_1_14_2) 1978 e_1_2_1_55_2 e_1_2_1_5_2 e_1_2_1_11_2 Saaty T. L. (e_1_2_1_43_2) 1980 e_1_2_1_32_2 e_1_2_1_15_2 e_1_2_1_38_2 e_1_2_1_36_2 e_1_2_1_19_2 e_1_2_1_57_2 e_1_2_1_59_2 e_1_2_1_9_2 |
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| Snippet | ABSTRACT
Group decision making in the presence of multiple conflicting objectives is complex and difficult. This paper describes and evaluates an iterative... Group decision making in the presence of multiple conflicting objectives is complex and difficult. This paper describes and evaluates an iterative technique to... Group decision making in the presence of multiple conflicting objectives is complex and difficult. This study describes and evaluates an iterative technique to... |
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| SubjectTerms | Algorithms Decision making Decision support systems Group Decision Processes and Mathematical Programming Groups Linear programming Statistical analysis Studies Utility functions |
| Title | An Interactive Framework for Multi-Person, Multiobjective Decisions |
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