Abstract

The linear programming technique for multidimensional analysis of preference (LINMAP) as a multi-attribute decision-making (MADM) technique has a capability of determining the weights of attributes as well as providing a ranking order of alternatives through a linear programming model. The conventional LINMAP method used the precise and deterministic data while in reality fuzziness and impreciseness in data are inherent. Linguistic terms that can be characterized by fuzzy numbers are ideal means for handling ambiguity and impreciseness. This study presents a fuzzy decision-making framework to deal with ambiguous data in LINMAP model.

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