The increasing number of natural and man-made hazards is forcing organizations to build
resilience against numerous types of disruptions that threaten continuity of their business …

As a practical approach for handling uncertainty, various fuzzy sets combined with traditional
OR (operations research) methods have found huge applications. However, the fuzzy …

Transportation problems have various applications in logistics and supply chains for
reducing costs. In real–life situations, the parameters of transportation problems may not be …

In this paper, we introduce a new approach to solve a fully hesitant fuzzy linear
programming (FHFLP) problem with hesitant fuzzy numbers (HFNs) as parameters. Using …

We study a nonlinear optimization problem with a system of fuzzy relational equations as its
constraints. We firstly investigate the resolution of the feasible region when it is defined with …

Several methods currently exist for solving fuzzy linear programming problems under
nonnegative fuzzy variables and restricted fuzzy coefficients. However, due to the limitation …

In fuzzy set theory, triangular norms (t-norm for short) and triangular co-norms (t-conorm for
short) play a key role by providing generic models for intersection and union operations on …

In this paper, optimization of a linear objective function subject to a generalized fuzzy
relational inequalities is investigated in which an arbitrary continuous t-norm is considered …

This study developed a copula-based fuzzy chance-constrained programming (CFCCP)
model and applied it to electric power generation systems planning under multiple …

In this paper, optimization of a linear objective function with fuzzy relational inequality
constraints is investigated In doing so, the feasible region is formed by the intersection of two …