Neuro–Fuzzy Systems combine fuzzy rule–based inference with neural learning, adapting memberships and rule parameters from data for interpretable modeling.
Fujita, Takaaki
core +1 more source
Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions. [PDF]
Complex Intell Systems, 2023 Alamoodi AH +12 more
europepmc +1 more source
Perceptions of Inclusion in Disability Communication with Plithogenic Fuzzy Soft Sets
This article explores how scientific communication with disability can foster social inclusion through an awareness of the challenge of conveying ambiguous perceptions across fields. This is a timely topic because inclusive communication facilitates equity and subsequent participation in academic and socio-cultural settings by persons with disabilities;
Sonia Guerra Iglesias +4 more
openaire +2 more sources
Identifying and prioritizing resilient health system units to tackle the COVID-19 pandemic. [PDF]
Socioecon Plann Sci, 2023 Adabavazeh N, Nikbakht M, Tirkolaee EB.
europepmc +1 more source
Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review. [PDF]
Artif Intell Rev, 2022 Alsalem MA +10 more
europepmc +1 more source
Plithogenic Hesitant Fuzzy Soft Topological Spaces
This present study introduces Plithogenic hesitant fuzzy soft (P-HFS) topological spaces, a new framework that combines Plithogenic sets, hesitant fuzzy sets, and soft set theory to model uncertainty with attribute-based contradictions.
R. Nishanthi, J. Jayasudha
core +1 more source
Infection detection revolution: Harnessing AI-powered image analysis to combat infectious diseases. [PDF]
PLoS OneAhsan M, Damaševičius R.
europepmc +1 more source
An advanced fermatean fuzzy DoC MCDM architecture for comprehensive quantitative assessment of physical fitness competency across academic institutions. [PDF]
Sci RepXie L, Huo Y, Wang X.
europepmc +1 more source
Novel Types of Upside-Down Logic in Plithogenic Fuzzy Sets
Plithogenic Logic and ComputationIn the real world, numerous reversal phenomena occur, such as cases where a statement once considered false is later acknowledged as true. Upside-Down Logic is a framework designed to formalize such reversals within a logical system. It inverts the truth and falsity of propositions through contextual transformations, thereby capturing ambiguity and ...
openaire +1 more source