Results 61 to 70 of about 19,367 (296)
Selection of candidate wells for re-fracturing in tight gas sand reservoirs using fuzzy inference
An artificial-intelligence based decision-making protocol is developed for tight gas sands to identify re-fracturing wells and used in case studies. The methodology is based on fuzzy logic to deal with imprecision and subjectivity through mathematical ...
Emre ARTUN, Burak KULGA
doaj +1 more source
Applying spatial reasoning to topographical data with a grounded geographical ontology [PDF]
Grounding an ontology upon geographical data has been pro- posed as a method of handling the vagueness in the domain more effectively. In order to do this, we require methods of reasoning about the spatial relations between the regions within the data ...
A.C. Varzi+25 more
core +1 more source
Fuzzy Epistemic Logic: Fuzzy Logic of Doxastic Attitudes
In traditional epistemic logic—particularly modal logic—agents are often assumed to have complete and certain knowledge, which is unrealistic in real-world scenarios where uncertainty, imprecision, and the incompleteness of information are common.
Jinjin Zhang+3 more
doaj +1 more source
We use princiles of fuzzy logic to develop a general model representing several processes in a system's operation characterized by a degree of vagueness and/or uncertainy.
Voskoglou, Michael Gr.
core +1 more source
Different Methodologies in Treating Uncertainty (Invited Paper) [PDF]
Uncertainty is unavoidable when dealing with data. The errors in measurements, limitations of measuring tools, or imprecise definition of linguistic variables may result in different types of uncertainty. These ambiguities may be due to vagueness in data
Areeg Abdalla
doaj
Appropriate choice of aggregation operators in fuzzy decision support systems [PDF]
Fuzzy logic provides a mathematical formalism for a unified treatment of vagueness and imprecision that are ever present in decision support and expert systems in many areas.
Beliakov, Gleb, Warren, Jim
core +1 more source
A novel risk assessment approach that integrates the fuzzy set theory and Z‐numbers with multicriteria decision‐making techniques (Delphi, decision‐making trial and evaluation laboratory, analytic network process, and VIseKriterijumska Optimizacija I Kompromisno Resenje) to manage uncertainty and prioritize human–robot collaboration risks. A real‐world
Emine Bozkus, İhsan Kaya
wiley +1 more source
Artificial intelligence‐assisted design, synthesis and analysis of smart biomaterials
Smart biomaterials are rapidly emerging as tools for tissue engineering, and artificial intelligence has played essential roles in biomaterial studies. By bridging the literature gap in AI‐based design, synthesis and analysis of smart biomaterials, the current review shares perspectives on how biomaterial scientists can practically incorporate AI for ...
Pengfei Jiang+9 more
wiley +1 more source
A Novel Framework for Gauging Information Extracted from Smartphones Using Neutrosophic Logic [PDF]
Smartphones contain a vast amount of information about their users, which can be used as evidence in criminal cases. However, the sheer volume of data can make it challenging for forensic investigators to identify and use the most relevant information ...
R. M. Abou Alzahab+5 more
doaj +1 more source
Synergistic Effects of Tech‐Enabled Capabilities for Sustainability in Road Freight Transportation
ABSTRACT Road freight transportation is a crucial enabler of the global economy due to its cost and flexibility advantages. However, road freight transportation also significantly impacts the environment, contributing to greenhouse gas emissions, traffic congestion, and pollution.
Vitor Furlanetto Barrionuevo+5 more
wiley +1 more source