Using Fuzzy Linguistic Representations to Provide Explanatory Semantics for Data Warehouses [PDF]
, 2003 A data warehouse integrates large amounts of extracted and summarized data from multiple sources for direct querying and analysis. While it provides decision makers with easy access to such historical and aggregate data, the real meaning of the data has ...
Dillon, Tharam S., Feng, Ling
core +3 more sources
Some Topological and Algebraic Properties of α-level Subsets’ Topology of a Fuzzy Subset
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2018 The theory of fuzzy sets, since its foundation, has advanced in a wide range of means and in many fields. One of the areas to which fuzzy set theory has been applied extensively is mathematical programming.
Onasanya B. O., Hoskova-Mayerova S.
doaj +1 more source
(Quantum) Space-Time as a Statistical Geometry of Fuzzy Lumps and the Connection with Random Metric Spaces [PDF]
, 2000 We develop a kind of pregeometry consisting of a web of overlapping fuzzy lumps which interact with each other. The individual lumps are understood as certain closely entangled subgraphs (cliques) in a dynamically evolving network which, in a certain ...
Alexandroff P +49 more
core +2 more sources
A fuzzy-based approach for classifying students' emotional states in online collaborative work [PDF]
, 2016 (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Arguedas, Marta +5 more
core +1 more source
Applications of Rough Sets in Big Data Analysis: An Overview
International Journal of Applied Mathematics and Computer Science, 2021 Big data, artificial intelligence and the Internet of things (IoT) are still very popular areas in current research and industrial applications.
Pięta Piotr, Szmuc Tomasz
doaj +1 more source
APPLICATION OF SOFT SETS TO ASSESSMENT OF MATHEMATICAL MODELLING SKILLS
Фізико-математична освіта, 2022 Formulation of the problem. Formulation of the problem. Mathematical modelling is a very important component of mathematics education, because by applying the mathematical theories to practical needs of our everyday life increases the student interest ...
Майкл Воскоглоу
doaj +1 more source
Application of Fuzzy Mathematics Models for Solving Medical Diagnostics Problems
Mathematical Physics and Computer Simulation, 2021 Fuzzy set theory and fuzzy logic are a very suitable and applicable framework for developing knowledge-based systems in medicine for tasks such as interpreting medical outcome sets, differentiating syndromes, diagnosing various diseases, choosing optimal
I. Germashev, Viktoriya Dubovskaya
semanticscholar +1 more source
Neuro-fuzzy knowledge processing in intelligent learning environments for improved student diagnosis [PDF]
, 2005 In this paper, a neural network implementation for a fuzzy logic-based model of the diagnostic process is proposed as a means to achieve accurate student diagnosis and updates of the student model in Intelligent Learning Environments.
Grigoriadou, M. +3 more
core +2 more sources
Developing Dynamic Network DEA Approach and its Combination with Interval Type-2 Fuzzy Sets Theory Case of Passenger Airports’ Performance Based on Sustainability Principles [PDF]
مدیریت تولید و عملیات, 2018 : Fuzzy DEA methods have been introduced to deal with the fuzziness of variables. Although, some of these variables are affected by uncertainty and also information granularity, the membership function of fuzzy set is certain and this contrasts with the ...
Laya Olfat +3 more
doaj +1 more source
Project scheduling under uncertainty using fuzzy modelling and solving techniques [PDF]
, 2013 In the real world, projects are subject to numerous uncertainties at different levels of planning. Fuzzy project scheduling is one of the approaches that deal with uncertainties in project scheduling problem.
Haït, Alain, Masmoudi, Malek
core +1 more source