Topic
Goal programming
About: Goal programming is a research topic. Over the lifetime, 4330 publications have been published within this topic receiving 117758 citations.
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TL;DR: This paper proposes a two-phase quantitative framework to aid the decision making process in effectively selecting an efficient and a compatible set of partners.
146 citations
TL;DR: A new type of fuzzy preference structure, called incomplete HFPRs, is introduced to describe hesitant and incomplete evaluation information in the group decision making (GDM) process and two goal programming models are proposed to derive the priority weights from an incompleteHFPR based on multiplicative consistency and additive consistency respectively.
Abstract: The concept of hesitant fuzzy preference relation (HFPR) has been recently introduced to allow the decision makers (DMs) to provide several possible preference values over two alternatives. This paper introduces a new type of fuzzy preference structure, called incomplete HFPRs, to describe hesitant and incomplete evaluation information in the group decision making (GDM) process. Furthermore, we define the concept of multiplicative consistency incomplete HFPR and additive consistency incomplete HFPR, and then propose two goal programming models to derive the priority weights from an incomplete HFPR based on multiplicative consistency and additive consistency respectively. These two goal programming models are also extended to obtain the collective priority vector of several incomplete HFPRs. Finally, a numerical example and a practical application in strategy initiatives are provided to illustrate the validity and applicability of the proposed models.
145 citations
TL;DR: This paper formulates and solves the vehicle reidentification problem as a lexicographic optimization problem with the potential to yield reliable section measures such as travel times and densities, and enables the measurement of partial dynamic origin/destination demands.
Abstract: The vehicle reidentification problem is the task of matching a vehicle detected at one location with the same vehicle detected at another location from a feasible set of candidate vehicles detected at the other location. This paper formulates and solves the vehicle reidentification problem as a lexicographic optimization problem. Lexicographic optimization is a preemptive multi-objective formulation, and this lexicographic optimization formulation combines lexicographic goal programming, classification, and Bayesian analysis techniques. The solution of the vehicle reidentification problem has the potential to yield reliable section measures such as travel times and densities, and enables the measurement of partial dynamic origin/destination demands. Implementation of this approach using conventional surveillance infrastructure permits the development of new algorithms for ATMIS (Advanced Transportation Management and Information Systems). Freeway inductive loop data from SR-24 in Lafayette, California, demonstrates that robust results can be obtained under different traffic flow conditions.
145 citations
TL;DR: In this article, the authors compared several multicriteria decision-making (MCDM) methods for comparing alternatives when there are multiple objectives and concluded that MCDM methods could promote insight and confidence in decision making.
Abstract: Multicriteria decision making (MCDM) methods are widely used for comparing alternatives when there are multiple objectives. For instance, utilities use them for resource bidding, externality quantification, facility siting, and resource planning. There are many alternative methods, differing in their ease of use, validity, results, and appropriateness to resource planning. Several MCDM methods are compared in an experiment involving the choice of resource portfolio for Seattle City Light. Planners and interest group representatives applied direct weight assessment, tradeoff weight assessment, additive value functions, and goal programming. Most of the participants concluded that MCDM methods could promote insight and confidence in decision making. However, the authors also confirmed the existence of method biases previously identified by psychologists. No single method emerged as best. Thus, application of two or more methods as consistency checks is recommended to guard against bias, and to stimulate insight. >
144 citations
TL;DR: An integrated approach and scientific techniques for corporate social responsibility programs selection decisions and costs evaluation in the hotel industry can help international tourist hotels’ managers to select CSR programs more scientifically and to make decisions conforming to the reality.
143 citations