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This chapter outlines an intelligent fuzzy linear programming (FLP) having a flexible logistic membership function (MF) in finding out fuzziness patterns at disparate level of satisfaction for theory of constraints-based (TOC) product-mix design problems. One objective of the present work is to find out degree of fuzziness of product-mix decisions having disparate level of satisfaction of decision-maker (DM). Another objective is to provide a robust, quantified monitor of the level of satisfaction of DMs and to calibrate these levels of satisfaction against DMs' expectations. Fuzzy-sensitivity of the decision has been focused for a bottle-neck-free, optimal product-mix solution of TOC problem.
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