Search for dissertations about: "fuzzy c-means clustering analysis"

Found 3 swedish dissertations containing the words fuzzy c-means clustering analysis.

  2. 1. Fuzzy Set Theory Applied to Make Medical Prognoses for Cancer Patients

    Author : Hang Zettervall; Blekinge Tekniska Högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Fuzzy set theory; the Mamdani fuzzy control system; the Sugeno controller; fuzzy c-means clustering analysis; point set approximation; linguistic models; the 2-tuple linguistic representations; the hesitant fuzzy linguistic term sets;

    Abstract : As we all know the classical set theory has a deep-rooted influence in the traditional mathematics. According to the two-valued logic, an element can belong to a set or cannot. In the former case, the element’s membership degree will be assigned to one, whereas in the latter case it takes the zero value. READ MORE

  4. 2. Machine Learning Techniques with Specific Application to the Early Olfactory System

    Author : Benjamin Auffarth; Anders Lansner; Tony Lindeberg; Tim Pearce; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; feature selection; image features; pattern classification; relevance; redundancy; distributional similarity; divergence measure; genetic algorithms; clustering algorithms; annealing; olfactory coding; olfactory bulb; odorants; glomeruli; property-activity relationship; olfaction; plasticity; axonal guidance; odor category; perception; spatial coding; population coding; memory organization; odor quality; SRA - ICT; SRA - Informations- och kommunikationsteknik;

    Abstract : This thesis deals with machine learning techniques for the extraction of structure and the analysis of the vertebrate olfactory pathway based on related methods. Some of its main contributions are summarized below. READ MORE

  5. 3. Two-Level Multi-Objective Genetic Algorithm for Risk-Based Life Cycle Cost Analysis

    Author : Yamur K. Al-Douri; Uday Kumar; Jan Lundberg; Hussan Hamodi; Ahmed Al-Dubai; Luleå tekniska universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Artificial intelligence AI ; Life cycle cost LCC ; Machine learning ML ; Multi-objective genetic algorithm MOGA ; Risk-based life cycle cost LCC ; Tunnel fans; Two-level system; Operation and Maintenance Engineering; Drift och underhållsteknik;

    Abstract : Artificial intelligence (AI) is one of the fields in science and engineering and encompasses a wide variety of subfields, ranging from general areas (learning and perception) to specific topics, such as mathematical theorems. AI and, specifically, multi-objective genetic algorithms (MOGAs) for risk-based life cycle cost (LCC) analysis should be performed to estimate the optimal replacement time of tunnel fan systems, with a view towards reducing the ownership cost and the risk cost and increasing company profitability from an economic point of view. READ MORE