Results 41 to 50 of about 3,420,671 (230)
A λ-cut and goal-programming-based algorithm for fuzzy-linear multiple-objective bilevel optimization [PDF]
Bilevel-programming techniques are developed to handle decentralized problems with two-level decision makers, which are leaders and followers, who may have more than one objective to achieve.
Gao, Y, Zhang, G, Lu, J, Ma, J
core +3 more sources
A Fuzzy Goal Programming Approach to Fully Fuzzy Linear Regression [PDF]
Traditional linear regression analysis aims at finding a linear functional relationship between predictor and response variables based on available data of a given system, and, when this relationship is found, it is used to predict the future behaviour of the system.
Boris Pérez-Cañedo +3 more
openaire +2 more sources
Using fuzzy goal programming by considering personal preferences for job selection via the internet
Purpose – The purpose of this paper is to use a personal fuzzy demand and assists via the system computingtofindajobforpersonaldecisions,throughjobsearchsystemtoachievethismethodology.
Chih-Yung Chen; Chia-Rong Su; Jih-Fu Tu; Chang-Ching Lin; Ching-Ter Chang
core +1 more source
A goal programming procedure for solving fuzzy multiobjective fractional linear programming problems
This paper presents a modification of Pal, Moitra and Maulik's goal programming procedure for fuzzy multiobjective linear fractional programming problem solving.
Tunjo Perić, Zoran Babić, Sead Rešić
doaj +1 more source
Spatial biology in cancer epigenetics
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Purpose: Disposal of infectious waste remains one of the most serious problems in the social and environmental domains of almost every nation. Selection of new suitable locations and finding the optimal set of transport routes to transport infectious ...
Narong Wichapa, Porntep Khokhajaikiat
doaj +1 more source
Low-Carbon Supplier Selection Using Fuzzy AHP and Goal Programming Approach
It has become the leading world trend that all countries join hands to respond to climate change and promote green and low-carbon development. In this background, more and more enterprises seek to control carbon emissions from the source and reduce ...
Feipeng Huang
doaj +1 more source
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ +19 more
wiley +1 more source
The revised harmonious fuzzy technique (RHFT) is a method used to solve fuzzy optimization problems. It was capitalized as an extension of the classical linear programming technique to handle constraints and objectives that are fuzzy. The harmonious
Maher A. Nawkhass
doaj +1 more source

