An interactive fuzzy multiple objective optimization method was proposed for solving fuzzy multiple objective linear programming problems where fuzzy parameters in both objective functions and constraints and fuzzy goals of objectives can be in any form of membership function. Based on the method, in this paper, a fuzzy multiple objective decision support system prototype is developed. A detail...

We give an asymptotic expansion (the higher Stirling formula) and an infinite product representation (the Weierstrass product representation) of the Vignéras multiple gamma functions by considering the classical limit of the multiple q-gamma functions.

Abstract: We address the problem of deriving Pareto optimal solutions of multiple objective optimization problems with predetermined upper bounds on trade-offs. As shown, this can be achieved by a linear transformation of objective functions. Each non-diagonal element of the transformation matrix is related to a bound on the trade-off between a pair of the objective functions.

Background: Melanoma progression and metastasis is suggested to be mediated by increased accumulation of myeloid derived suppressor cells. Various chemotherapeutic drugs such as 5-Fluorouracil in single low concentration have the capacity, at least in part, to reverse tumor progression by reducing myeloid derived suppressor cellsmediated immunosuppression. Objective: To assess whether multiple ...

Objective(s):Intermittent hypoxia (IH), caused by obstructive sleep apnea (OSA), could cause hippocampus or neuron damage through multiple signaling pathways, while the underlying mechanisms are still unclear. Thus, the present study aimed to explore the effect of IH on the biological functions of microglia cells. Materials and Methods:Cell proliferation of BV2 cells after exposure to IH were o...

Structured summary2 Provide a structured summary including, as applicable: background; objectives; data sources; study eligibility criteria,participants, and interventions; study appraisal and synthesis methods; results; limitations; conclusions andimplications of key findings; systematic review registration number.2

Abstract. This paper looks at the task of computing efficient extreme points in multiple objective linear programruing. Vector maximization software is reviewed and the ADBASE solver for computing all efficient extreme points of a multiple objective linear program is described. To create MOLP test problems, models for random problem generation are discussed. In the computational part of the pap...