[HTML][HTML] Building organizational resilience in the face of multiple disruptions
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 …
resilience against numerous types of disruptions that threaten continuity of their business …
A critical review on theoretical drawbacks and mathematical incorrect assumptions in fuzzy OR methods: Review from 2010 to 2020
A Sotoudeh-Anvari - Applied Soft Computing, 2020 - Elsevier
As a practical approach for handling uncertainty, various fuzzy sets combined with traditional
OR (operations research) methods have found huge applications. However, the fuzzy …
OR (operations research) methods have found huge applications. However, the fuzzy …
New method for solving fuzzy transportation problems with LR flat fuzzy numbers
A Ebrahimnejad - Information Sciences, 2016 - Elsevier
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 …
reducing costs. In real–life situations, the parameters of transportation problems may not be …
Fully hesitant fuzzy linear programming with hesitant fuzzy numbers
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 …
programming (FHFLP) problem with hesitant fuzzy numbers (HFNs) as parameters. Using …
An efficient genetic algorithm for solving nonlinear optimization problems defined with fuzzy relational equations and max-Lukasiewicz composition
A Ghodousian, A Babalhavaeji - Applied Soft Computing, 2018 - Elsevier
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 …
constraints. We firstly investigate the resolution of the feasible region when it is defined with …
[HTML][HTML] A nonlinear model for fully fuzzy linear programming with fully unrestricted variables and parameters
Several methods currently exist for solving fuzzy linear programming problems under
nonnegative fuzzy variables and restricted fuzzy coefficients. However, due to the limitation …
nonnegative fuzzy variables and restricted fuzzy coefficients. However, due to the limitation …
Nonlinear optimization problem subjected to fuzzy relational equations defined by Dubois-Prade family of t-norms
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 …
short) play a key role by providing generic models for intersection and union operations on …
A modified PSO algorithm for linear optimization problem subject to the generalized fuzzy relational inequalities with fuzzy constraints (FRI-FC)
A Ghodousian, MR Parvari - Information Sciences, 2017 - Elsevier
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 …
relational inequalities is investigated in which an arbitrary continuous t-norm is considered …
A copula-based fuzzy chance-constrained programming model and its application to electric power generation systems planning
This study developed a copula-based fuzzy chance-constrained programming (CFCCP)
model and applied it to electric power generation systems planning under multiple …
model and applied it to electric power generation systems planning under multiple …
Optimization of linear problems subjected to the intersection of two fuzzy relational inequalities defined by Dubois-Prade family of t-norms
A Ghodousian - Information Sciences, 2019 - Elsevier
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 …
constraints is investigated In doing so, the feasible region is formed by the intersection of two …