Results 51 to 60 of about 247,756 (301)
Axioms, 2019 The use of artificial intelligence techniques such as fuzzy logic, neural networks and evolutionary computation is currently very important in medicine to be able to provide an effective and timely diagnosis. The use of fuzzy logic allows to design fuzzy
Juan Carlos Guzmán +3 more
doaj +1 more source
Mining Target-Oriented Fuzzy Correlation Rules to Optimize Telecom Service Management
, 2011 To optimize telecom service management, it is necessary that information about telecom services is highly related to the most popular telecom service. To this end, we propose an algorithm for mining target-oriented fuzzy correlation rules. In this paper,
Chueh, Hao-En
core +3 more sources
Fuzzy subjective evaluation of Asia Pacific airport services [PDF]
, 2010 This paper presents a fuzzy decision-making model to determine the ranking of fourteen Asia Pacific airports based on the services provided to passengers.
Ku-Mahamud, Ku Ruhana, Othman, Mahmod
core +2 more sources
The information content of fuzzy relations and fuzzy rules
Computers & Mathematics with Applications, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dan Hu, Hongxing Li 0004, Xianchuan Yu
openaire +1 more source
Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati +10 more
wiley +1 more source
Advanced inference in fuzzy systems by rule base compression [PDF]
, 2007 This paper describes a method for rule base compression of fuzzy systems. The method compresses a fuzzy system with an arbitrarily large number of rules into a smaller fuzzy system by removing the redundancy in the fuzzy rule base.
Gegov, Alexander, Gobalakrishnan, N.
core +1 more source
Arthritis Care &Research, EarlyView.Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo +88 more
wiley +1 more source
Selection of Satisfied Association Rules via Aggregation of Linguistic Satisfied Degrees
IEEE Access, 2019 Many association rule mining algorithms have been well-established, such as Apriori, Eclat, FP-Growth, or LCM algorithms. However, the challenge is that the huge size of association rules is extracted by using these algorithms, and it is difficult for ...
Fangling Ren, Zheng Pei, Kehong Wu
doaj +1 more source
Rough-fuzzy rule interpolation
Information Sciences, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chengyuan Chen +5 more
openaire +1 more source
Arthritis Care &Research, EarlyView.Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni +7 more
wiley +1 more source