نتایج جستجو برای Goal programming

تعداد نتایج: 472633  

 We are concerned with solving Fuzzy Flexible Linear Programming (FFLP) problems. Even though, this model is very practical and is useful for many applications, but there are only a few methods for its situation. In most approaches proposed in the literature, the solution process needs at least, two phases where each phase needs to solve a linear programming problem. Here, we propose a method t...

M. Saraj, S. Sadeghi,

This paper presents a fuzzy goal programming (FGP) methodology for solving bi-level quadratic programming (BLQP) problems. In the FGP model formulation, firstly the objectives are transformed into fuzzy goals (membership functions) by means of assigning an aspiration level to each of them, and suitable membership function is defined for each objectives, and also the membership functions for vec...

Abstract It is the purpose of this article to introduce a linear approximation technique for solving a fractional chance constrained programming (CC) problem. For this purpose, a fuzzy goal programming model of the equivalent deterministic form of the fractional chance constrained programming is provided and then the process of defuzzification and linearization of the problem is started. A sam...

A Bakhsha, H Babaei, K Shahanaghi, M Tootooni,

This paper will investigate the optimum portfolio for an investor, taking into account 5 criteria. The mean variance model of portfolio optimization that was introduced by Markowitz includes two objective functions; these two criteria, risk and return do not encompass all of the information about investment; information like annual dividends, S&P star ranking and return in later years which is ...

Journal: :Computers & Industrial Engineering 2012
Ching-Ter Chang, Huang-Mu Chen, Zheng-Yun Zhuang,

0360-8352/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.cie.2012.08.005 ⇑ Corresponding author. Tel.: +886 3 2118800x3713 E-mail addresses: [email protected] (C.-T. (H.-M. Chen), [email protected], (Z.-Y. Zhuang). The multi-segment goal programming (MSGP) model is an extension model of GP wherein the core thinking is inherited from the multi-choice goal program...

Journal: :ژورنال بین المللی پژوهش عملیاتی 0
m. saraj, s. sadeghi,

this paper presents a fuzzy goal programming (fgp) methodology for solving bi-level quadratic programming (blqp) problems. in the fgp model formulation, firstly the objectives are transformed into fuzzy goals (membership functions) by means of assigning an aspiration level to each of them, and suitable membership function is defined for each objectives, and also the membership functions for vec...

2008
Dorota Kuchta, D. KUCHTA,

In the paper a new approach to goal programming is presented: the robust approach, applied so far to a single-objective linear programming. It is a ”pessimistic” approach, meant to find a solution which will be reasonably good even in a bad case, but it is based on the assumption that almost never everything goes bad the decision maker can control and simulate the pessimistic aspect of the deci...

Journal: :European Journal of Operational Research 2006
Rafael Caballero, Francisco Ruiz, Maria Victoria Rodríguez Uría, Carlos Romero,

The concept of meta-goal programming is developed and linked to an interactive framework. An algorithm is proposed, in which the decision maker can establish target values on several achievement functions and use an interactive procedure to update these values. This substantially alleviates the problems associated with assigning to each attribute a target value, in order to build the goals, as ...

2007
Peter Nijkamp, Jaap Spronk,

Paper presented at the 7th meeting of the EURO-working group "Aide a la decision multicritere" in York, april 1978.

Journal: :journal of industrial engineering, international 2009
h babaei, m tootooni, k shahanaghi, a bakhsha,

this paper will investigate the optimum portfolio for an investor, taking into account 5 criteria. the mean variance model of portfolio optimization that was introduced by markowitz includes two objective functions; these two criteria, risk and return do not encompass all of the information about investment; information like annual dividends, s&p star ranking and return in later years which...

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