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Original Articles

Optimal balance between recycling and waste‐to‐energy programs by grey fuzzy nonlinear goal programming (I) theory

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Pages 633-647 | Received 29 May 1996, Accepted 14 Nov 1996, Published online: 15 Dec 2008
 

Abstract

This paper specifically describes the disparity between several fuzzy goals in a decision making process and solves the potential conflicts by a new approach: the grey fuzzy goal programming (GFGP) model. In particular, it demonstrates how the grey uncertainties embedded in parameter values and fuzzy messages existing in goals can be quantified within a modified goal programming analytical framework to fully interpret the complexity from both system nature and human aspiration. Such a theoretical development indicates that the grey fuzzy optimal solutions constitute an important step toward the identification of more flexible management policy of many real world systems.

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