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Selection of cotton fibres as the raw material in textile spinning industries can often be formulated as a multi-criteria decision-making problem. Sometimes, the nature of this selection problem becomes complicated and unstructured requiring the deployment of advanced mathematical tools and techniques to derive at the most acceptable solution. The traditional computational methods are inapt to deal with fuzzy information, if present in a decision-making problem. Thus, in this paper, the application of fuzzy axiomatic design (FAD) principles is presented in order to identify the most suitable cotton fibre for ring spun yarn from a set of competing alternatives while fulfilling the requirements of the spinning industries. It can quantitatively transform the impreciseness present in the cotton fibre selection problem while yielding satisfactory ranking order of the considered alternatives. To ease out this cotton fibre selection process, a software prototype is also developed which can be applicable to any type of decision-making problem with fuzzy information having any number of alternatives and criteria. It is observed that the ranking pattern of the cotton fibre alternatives derived from FAD methodology is almost similar to that obtained by the past researchers. [ABSTRACT FROM AUTHOR]