Jian Zhou

TL;DR: A fuzzy α-minimum spanning tree model and a credibility maximization model are presented to formulate the problem according to different decision criteria, and a fuzzy simulation for computing credibility is designed and embedded into a genetic algorithm to produce some hybrid intelligent algorithms.

TL;DR: A chance-constrained programming model is proposed to handle the inverse spanning tree problem where the edge weights are assumed to be uncertain variables and it is shown that such an uncertain minimum spanning tree can be characterized by some constraints on the paths of the graph.

TL;DR: In this article, a new fuzzy QFD model for use in multisegment markets, to search for optimal engineering characteristics by maximizing the overall customer satisfaction score, is proposed, and an analytical method based on fuzzy operational law is proposed to further transform the chance-constrained programming into an equivalent explicit model.

TL;DR: This paper investigates the entropy within the framework of credibility theory and derives the formulas for calculating the entropy of regular LR fuzzy numbers by virtue of the inverse credibility distribution, providing an effective modeling method for fuzzy programming from the perspective of entropy.

TL;DR: To deal with the entropy of complicated nonlinear function, two novel simulation algorithms are separately designed by combining the uniform discretization process and the numerical integration process with the proposed calculation formulas.