نتایج جستجو برای: multi choice goal programming

تعداد نتایج: 1134980  

Journal: :international journal of environmental research 2014
a. hernández r. caballero m.a. león m. casas v.e. pérez

the conceptualization of total economic value (tev) associated with protected natural areasnecessarily requires an analytical reordering that ensures a simultaneous incorporation of natural, social andeconomic components. based on this purpose, the present paper uses a multi-criteria decision modeling forthe economic valuation of environmental goods and services (egs) in the viñales national pa...

Kailash Lachhwani Suresh Nehra

In this paper, we present modified fuzzy goal programming (FGP) approach and generalized MATLAB program for solving multi-level linear fractional programming problems (ML-LFPPs) based on with some major modifications in earlier FGP algorithms. In proposed modified FGP approach, solution preferences by the decision makers at each level are not considered and fuzzy goal for the decision vectors i...

A theorem was recently introduced to establish a relationship betweengoal programming and fuzzy programming for vectormaximum problems.In this short note it is shown that the relationship does not exist underall circumstances. The necessary correction is proposed.

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...

Journal: :Journal of the Operations Research Society of Japan 1989

Journal: :international journal of industrial mathematics 0
k. lachhwani department of mathematics, government engineering college, bikaner- 334004, india.

multi objective quadratic fractional programming (moqfp) problem involves optimization of several objective functions in the form of a ratio of numerator and denominator functions which involve both contains linear and quadratic forms with the assumption that the set of feasible solutions is a convex polyhedral with a nite number of extreme points and the denominator part of each of the object...

Journal: :Journal of Uncertainty Analysis and Applications 2015

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