Fuzzy goal programming in multi-criteria decision systems: A case study in agricultural planning
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TL;DR
A general Fuzzy Goal Programming (FGP) methodology involving pre-emptive priorities and fuzzy goals which can be applied to tackle Multi-Criteria Decision Systems (MCDS) with imprecise parameters is proposed.
Abstract
This paper proposes a general Fuzzy Goal Programming (FGP) methodology involving pre-emptive priorities and fuzzy goals which can be applied to tackle Multi-Criteria Decision Systems (MCDS) with imprecise parameters. Specifically, it emphasizes certain assumptions about the psychology of the decision system (DS) where the dynamic involvement of the decision-maker (DM) is highlighted. The methodology, which is mostly DM oriented, is applied to a case study of a tube-well command area planning. The results demonstrate that (i) the DM normally satisfices rather than optimizes and (ii) the output of a DS is his best acceptable course of action.
