A goal programming model for solving the incomplete stochastic multi-attribute decision making

2011 ◽  
Author(s):  
Wen-tao Xiong ◽  
Sheng-ping Yu
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Programming Model ◽  
Goal Programming Model ◽  
Multi Attribute Decision Making

A Method for Multi-Attribute Decision-Making with Complementary Preference Information on Alternatives

2013 ◽  
Vol 658 ◽  
pp. 541-545
Author(s):  
Hong An Zhou
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Programming Model ◽  
Preference Relation ◽  
Weighting Method ◽  
Preference Information ◽  
Attribute Weights ◽  
Translation Function ◽  
Goal Programming Model ◽  
Multi Attribute Decision Making

The multi-attribute decision making (MADM) problem, in which the information about attribute weights are known partly and the decision maker (DM) has fuzzy complementary preference relation on alternatives, is investigated in this paper. Firstly, The objective decision-making information based on the subjective fuzzy complementary preference information on alternatives is uniformed by using a translation function. Secondly, a goal programming model is established. The attribute weights are obtained by solving the model, thus the overall values of the alternatives are gained by using the additive weighting method. Based on these values, the ranking priorities or selecting the best on alternatives are processed. The method can sufficiently utilize the objective information of alternatives and meet the subjective requirements of the DM as much as possible, and it is also characterized by simple operation and easy to implement on a computer. Finally, a practical example is illustrated to show the feasibility and availability of the developed method.

Goal Programming for Decision Making in Closely Held Businesses

1979 ◽  
Vol 3 (4) ◽  
pp. 31-41 ◽  
Author(s):  
Sang M. Lee ◽  
Robert T. Justis ◽  
Lori Sharp Franz
Keyword(s):  
Decision Making ◽  
Small Business ◽  
Decision Maker ◽  
Goal Programming ◽  
Small Businesses ◽  
Fast Food ◽  
Programming Model ◽  
Multiple Goals ◽  
Business Decision ◽  
Goal Programming Model

There are few analytical and managerial tools available to assist the small business decision maker. This paper presents a practical goal Programming model which can be easily generalized to fit the planning needs of most small businesses. Specifically the model explicitly considers the multiple goals and priorities of the owner-manager and determines if these goals can be accomplished under various demand Projections. An illustrative example of the use of this model with a small fast-food business is given.

Method for Fuzzy Multi-Attribute Decision-Making with Fuzzy Reciprocal Preference Relation on Alternatives under Partical Weight Information

2011 ◽  
Vol 58-60 ◽  
pp. 869-874
Author(s):  
Hong An Zhou
Keyword(s):  
Decision Making ◽  
Fuzzy Numbers ◽  
Programming Model ◽  
Preference Relation ◽  
Triangular Fuzzy Numbers ◽  
Attribute Weights ◽  
Translation Function ◽  
Goal Programming Model ◽  
Subjective Preference ◽  
Multi Attribute Decision Making

The fuzzy multi-attribute decision-making (FMADM) problems, in which the information about attribute weights is partly known, the attribute values take the form of triangular fuzzy numbers, and the decision maker (DM) has fuzzy reciprocal preference relation on alternatives, are investigated. Firstly, some concepts, such as the multiply between two triangular fuzzy numbers, the projection of triangular fuzzy numbers vectors, etc, are given. Secondly, in order to reflect to the DM’s subjective preference information on alternatives, we make the objective decision information uniform by using a translation function and establish a goal programming model, and then the attribute weights is obtained by solving the model, thus the weighted attribute values of all alternatives are gained. The concept of fuzzy positive ideal solution (FPIS) of alternatives is introduced, and the alternatives are ranked by using the projection of the weighted attribute values of every alternative on FPIS. The method not only can sufficiently utilize the objective information and meet the DM’s subjective preferences on alternatives as much as possible, but also it is characterized by simple operation and easy to implement on a computer. Finally, a practical example is illustrated to show the feasibility and availability of the developed method.

Sustainable CNT-enabled lithium-ion battery manufacturing: evaluating the tradeoffs

2016 ◽  
Vol 3 (6) ◽  
pp. 1447-1459 ◽  
Author(s):  
Serkan Erbis ◽  
Sagar Kamarthi ◽  
Amir Abdollahi Namin ◽  
Ali Hakimian ◽  
Jacqueline A. Isaacs
Keyword(s):  
Economic Growth ◽  
Decision Making ◽  
Lithium Ion Battery ◽  
Human Health ◽  
Goal Programming ◽  
Programming Model ◽  
Lithium Ion ◽  
Goal Programming Model ◽  
Stochastic Goal Programming ◽  
Aid Decision

A stochastic goal programming model is developed to aid decision making for CNT-enabled lithium-ion battery manufacturing production and capacity expansion, by considering the balance among economic growth, environmental and human health protection, and sustainability.

scholarly journals Binary goal programming model for optimizing tire selection using branch and bound algorithm

2021 ◽  
Vol 12 ◽  
pp. 8
Author(s):  
Shady Aly
Keyword(s):  
Decision Making ◽  
Branch And Bound ◽  
Goal Programming ◽  
Programming Model ◽  
Operating Conditions ◽  
Branch And Bound Algorithm ◽  
Adoption Decision ◽  
Proposed Model ◽  
Goal Programming Model ◽  
Design Selection

The problem of assessment and adoption of automotive tyre design specifications has not been addressed sufficiently in literature. This is in spite of its significance as a crucial component relevant to design and safety of the automobile. In this paper, a multi-objective optimization model of the tyre design trademark adoption decision is proposed. Multi-attribute or multi-criterion decision making techniques are heuristics providing good solution, but do not guarantee optimum solution. Up to date, there is no optimal yielding method for selection of vehicle tyre manufacturer or trademark based on prespecified design targets. The proposed model is formulated as a binary goal programming model for optimizing tyre trademark design selection decision by adopting an optimal tyre design trademark that best achieve design targets. The model is solved by the branch and bound algorithm. One advantage of the proposed model is flexibility to incorporate multiple design targets, tolerance limits and different constraints. The proposed model can support efficient and effective decision making concerning the adoption of tyre trademark design for new automobile or to re-adopt new design for new road vehicle operating conditions.

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