Membership function

TL;DR: An application of fuzzy programming to process planning is presented, whereby the forecast parameters are assumed to be fuzzy with a linear or triangular membership function and the process planning problem is formulated in terms of decision making in a fuzzy environment with fuzzy constraints and fuzzy net present value goals.

TL;DR: A new image thresholding method using fuzzy divergence is proposed here that minimizes the fuzzy divergence or the difference between the actual and the ideal thresholded image.

TL;DR: A fuzzy multipurpose decision making model integrating different preference representations: preference orderings, utility functions and fuzzy preference relations is presented and its internal consistency is studied.

TL;DR: Two new fuzzy learning methods for automatically deriving membership functions and fuzzy if–then rules from a set of given training examples are proposed and can reduce the time and effort needed to develop a fuzzy knowledge base.

TL;DR: The one-sample method of testing about the mean of a fuzzy random variable can be extended to general ones (more precisely, to those whose range is not necessarily finite and whose values are fuzzy subsets of finite-dimensional Euclidean space).