A generalized behavioral-based goal programming approach for decision-making under imprecision
The body of literature on goal programming (GP) approaches in modeling preferences and the satisfaction philosophy in multi-objective programming (MOP) decision-making processes is extensive. However, there has been little focus on how preferences change in relation to the decision-maker's (DM)...
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Elsevier
2024-12-01
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| Series: | Operations Research Perspectives |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214716024000204 |
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| author | Mohamed Sadok Cherif |
| author_facet | Mohamed Sadok Cherif |
| author_sort | Mohamed Sadok Cherif |
| collection | DOAJ |
| description | The body of literature on goal programming (GP) approaches in modeling preferences and the satisfaction philosophy in multi-objective programming (MOP) decision-making processes is extensive. However, there has been little focus on how preferences change in relation to the decision-maker's (DM) behavior within this satisfaction philosophy, particularly in situations involving risk. To address this challenge, we propose introducing a behavior-type utility function into the GP model using the concept of a behavior function. This idea offers an innovative perspective for modeling DM's behavioral preferences in the imprecise GP approach by integrating a risk-aversion parameter specific to each objective. We then formulate a generalized behavioral-based GP approach for decision-making based on this new behavior-type utility function. To validate our proposed approach, we present an illustrative example of project selection in health service institutions, followed by a sensitivity analysis and comparisons with other approaches. The results demonstrate that DM's behavioral preferences significantly impact the decision-making process, and the proposed model provides more reasonable and convenient decisions for DMs with varying degrees of risk aversion. |
| format | Article |
| id | doaj-art-bd69877dac5040398d97c176c09d4c2a |
| institution | Kabale University |
| issn | 2214-7160 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Operations Research Perspectives |
| spelling | doaj-art-bd69877dac5040398d97c176c09d4c2a2024-12-18T08:48:57ZengElsevierOperations Research Perspectives2214-71602024-12-0113100316A generalized behavioral-based goal programming approach for decision-making under imprecisionMohamed Sadok Cherif0Department of Quantitative Methods, School of Business, King Faisal University, P.B. 400 Al-Hassa 31982, Saudi Arabia; Department of Mathematics, Higher Institute of Computer Sciences and Mathematics, University of Monastir, Avenue de la Corniche, Monastir 5000, TunisiaThe body of literature on goal programming (GP) approaches in modeling preferences and the satisfaction philosophy in multi-objective programming (MOP) decision-making processes is extensive. However, there has been little focus on how preferences change in relation to the decision-maker's (DM) behavior within this satisfaction philosophy, particularly in situations involving risk. To address this challenge, we propose introducing a behavior-type utility function into the GP model using the concept of a behavior function. This idea offers an innovative perspective for modeling DM's behavioral preferences in the imprecise GP approach by integrating a risk-aversion parameter specific to each objective. We then formulate a generalized behavioral-based GP approach for decision-making based on this new behavior-type utility function. To validate our proposed approach, we present an illustrative example of project selection in health service institutions, followed by a sensitivity analysis and comparisons with other approaches. The results demonstrate that DM's behavioral preferences significantly impact the decision-making process, and the proposed model provides more reasonable and convenient decisions for DMs with varying degrees of risk aversion.http://www.sciencedirect.com/science/article/pii/S2214716024000204Nonlinear goal programmingDM's behavioral preferences modelingBehavior-type utility functionDecision-making under imprecisionProject selection |
| spellingShingle | Mohamed Sadok Cherif A generalized behavioral-based goal programming approach for decision-making under imprecision Operations Research Perspectives Nonlinear goal programming DM's behavioral preferences modeling Behavior-type utility function Decision-making under imprecision Project selection |
| title | A generalized behavioral-based goal programming approach for decision-making under imprecision |
| title_full | A generalized behavioral-based goal programming approach for decision-making under imprecision |
| title_fullStr | A generalized behavioral-based goal programming approach for decision-making under imprecision |
| title_full_unstemmed | A generalized behavioral-based goal programming approach for decision-making under imprecision |
| title_short | A generalized behavioral-based goal programming approach for decision-making under imprecision |
| title_sort | generalized behavioral based goal programming approach for decision making under imprecision |
| topic | Nonlinear goal programming DM's behavioral preferences modeling Behavior-type utility function Decision-making under imprecision Project selection |
| url | http://www.sciencedirect.com/science/article/pii/S2214716024000204 |
| work_keys_str_mv | AT mohamedsadokcherif ageneralizedbehavioralbasedgoalprogrammingapproachfordecisionmakingunderimprecision AT mohamedsadokcherif generalizedbehavioralbasedgoalprogrammingapproachfordecisionmakingunderimprecision |