Search results for "sumea logiikka"

showing 5 items of 5 documents

Mathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences

2022

With more than 50 years of literature, fuzzy logic has gradually progressed from an emerging field to a developed research domain, incorporating the sub-domain of mathematical fuzzy logic (MFL) [...]

Algebra and Number TheorymatematiikkaLogicsyväoppiminentietojenkäsittelytieteetpääkirjoituksettekoälylaskennallinen tiederahoitusalateknologiaGeometry and Topologysoveltaminenongelmanratkaisusumea logiikkaMathematical PhysicsAnalysis
researchProduct

An approach to linguistic pattern recognition using fuzzy systems

2003

Jouni Raitamäen väitöskirjan tarkoituksena on löytää menetelmiä sumeiden kielellisten JOS-NIIN -tyypisten sääntöjen tuottamiseen numeerisesta tiedosta. Apuna tässä käytetään sumeiden järjestelmien teoriaa.Menetelmien antamien tulosten tulee olla sekä ymmärrettäviä että tarkkoja. Kuitenkin vaatimus on yleensä ristiriitainen, sillä riittävän tarkan ratkaisun saavuttaminen vaatii usein monimutkaisempia menetelmiä ja malleja. Tämä ymmärrettävyyden ja tarkkuuden välinen tasapaino sumeissa järjestelmissä on keskeisellä sijalla väitöskirjan tarkasteluissa.Raitamäen tavoitteena on löytää sumea järjestelmä, joka on riittävän yleinen siten, että sitä voi soveltaa pienin modifikaatioin sekä regressio-…

kielitiedenumeeriset menetelmätsäännötmallitsumea logiikka
researchProduct

Toward Quaternary QCA : Novel Majority and XOR Fuzzy Gates

2022

As an emerging nanotechnology, quantum-dot cellular automata (QCA) has been considered an alternative to CMOS technology that suffers from problems such as leakage current. Moreover, QCA is suitable for multi-valued logic due to the simplicity of implementing fuzzy logic in a way much easier than CMOS technology. In this paper, a quaternary cell is proposed with two isolated layers because of requiring three particles to design this quaternary cell. Moreover, due to the instability of the basic gates, the three particles cannot be placed in one layer. The first layer of the proposed two-layer cell includes a ternary cell and the second one includes a binary cell. It is assumed that the over…

polarizationquaternaryGeneral Computer SciencekvanttitietokoneetGeneral Engineeringquantum dotsnanotekniikkapotential wellkvanttilaskentaCMOS technologyquantum computinglitografia (mikrovalmistus)XOR fuzzy gatelogic gatesintegrated circuit modelinglithographyGeneral Materials Sciencemulti-valued QCAsumea logiikkamajority fuzzy gateQQCA
researchProduct

Explainable Fuzzy AI Challenge 2022 : Winner’s Approach to a Computationally Efficient and Explainable Solution

2022

An explainable artificial intelligence (XAI) agent is an autonomous agent that uses a fundamental XAI model at its core to perceive its environment and suggests actions to be performed. One of the significant challenges for these XAI agents is performing their operation efficiently, which is governed by the underlying inference and optimization system. Along similar lines, an Explainable Fuzzy AI Challenge (XFC 2022) competition was launched, whose principal objective was to develop a fully autonomous and optimized XAI algorithm that could play the Python arcade game “Asteroid Smasher”. This research first investigates inference models to implement an efficient (XAI) agent using rule-based …

päättelyoptimointifuzzy systemsTSKalgoritmiikkaälykkäät agentitsumea logiikkatekoälyAI agentsMamdani inference systemexplainable AI
researchProduct

Type-2 intuitionistic fuzzy TODIM for intelligent decision-making under uncertainty and hesitancy

2022

AbstractThe classical TODIM considers the crisp numbers to handle the information. However, in a real-world applicative context, this information is bounded by noise and vagueness and hence uncertain. There are wide range of works in the literature which utilizes fuzzy sets to handle the uncertainty in the various dimensions. However, there is a constraint of hesitancy in such decision-making problems due to the involvement of various decision-makers. Also, in the TODIM method, decision-maker’s bounded rationality and psychological behavior are also taken into consideration which adds up the hesitation and considers the problem with higher dimension of uncertainty. There are various applica…

type-2 fuzzy setsintelligent decision-makingintuitionistic fuzzy setoptimointimulti-criteria decision makingTODIMpäätöksentukijärjestelmätGeometry and Topologysumea logiikkamonitavoiteoptimointiSoftwareTheoretical Computer ScienceSoft Computing
researchProduct