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Showing 1 to 20 of 49 for “"Fuzzy Set Theory"”.

  1. An investment analysis model using fuzzy set theory

    … and non-economic, tangible and intangible. Fuzzy set theory provides an alternative to probability theory for handling uncertainty, while at the same time being able to handle imprecision. It also provides a means of closing the gap between the human thought process and the computer, by …

    vt Repository record for An investment analysis model using fuzzy set theory (opens in a new tab)

  2. Methodological Problems in Comparative and Cross -National Analysis: Applications of Fuzzy Set Theory

    … to realize the as yet unfulfilled promise of fuzzy set theory and to show in particular how it can be applied in the field of comparative politics, my dissertation addresses three basic issues. First, I show how to scale membership functions, the primary quantities necessary for fuzzy set

    uiuc Repository record for Methodological Problems in Comparative and Cross -National Analysis: Applications of Fuzzy Set Theory (opens in a new tab)

  3. A model for the investigation of cost variances: the fuzzy set theory approach

    … problems. The new model utilizes the calculus of fuzzy set theory which was introduced by Zadeh in 1965 as a means for dealing with fuzziness. The theory is also intended to reduce the need for precise measures that are difficult to obtain. Consequently, the theory seems to be well suited for …

    vt Repository record for A model for the investigation of cost variances: the fuzzy set theory approach (opens in a new tab)

  4. Contributions for Handling Big Data Heterogeneity. Using Intuitionistic Fuzzy Set Theory and Similarity Measures for Classifying Heterogeneous Data

    … archiving and storage of larger and larger datasets, many of which are multi-modal, or contain different types of data which contribute to the problem that is now known as “Big Data”. In the area of Big Data, volume, variety and velocity problems remain difficult to solve. The work presented in …

    bradford Repository record for Contributions for Handling Big Data Heterogeneity. Using Intuitionistic Fuzzy Set Theory and Similarity Measures for Classifying Heterogeneous Data (opens in a new tab)

  5. The Status of Music Teacher Education in Taiwan, the Republic of China: An Application of Fuzzy Set Theory

    The major findings of this study included: (1) music specialists with professional music teacher education were in serious shortage at elementary and junior high schools, especially in small-sized schools; (2) the most satisfactory, beneficial, and important courses in the perceptions of all …

    uiuc Repository record for The Status of Music Teacher Education in Taiwan, the Republic of China: An Application of Fuzzy Set Theory (opens in a new tab)

  6. Searching for the Past: Archaeological Research Using a Multi-Method Geomatics Approach

    … a geographic information system (GIS) with fuzzy set theory, and remote sensing software, can overcome limitations encountered with isolated geomatics tools. Using Roman building practices as a test case, the strengths of each geomatics method were utilized to identify ideal locations for …

    carleton Repository record for Searching for the Past: Archaeological Research Using a Multi-Method Geomatics Approach (opens in a new tab)

  7. Development of Fuzzy Hybrid Approaches to Project Delivery Method Selection in Highway Construction

    … encountered in qualitative variables. Fuzzy set theory is a mathematical approach that can accommodate a combination of quantitative and qualitative variables. This dissertation aimed at investigating the applications of fuzzy set theory and fuzzy logic to support decision-making …

    ku Repository record for Development of Fuzzy Hybrid Approaches to Project Delivery Method Selection in Highway Construction (opens in a new tab)

  8. Measuring and Evaluating Efficiency and Effectiveness Using Goal Programming and Data Envelopment Analysis in a Fuzzy Environment

    … the goals of efficiency and effectiveness in a fuzzy environment and is developed using Goal Programming, Data Envelopment Analysis and Fuzzy Set Theory. The proposed framework is called Fuzzy GoDEA and uses surrogate constraints to represent the efficiency and effectiveness goals. DEA type …

    vt Repository record for Measuring and Evaluating Efficiency and Effectiveness Using Goal Programming and Data Envelopment Analysis in a Fuzzy Environment (opens in a new tab)

  9. Synthesis of insightful algorithms

    … of the system's models. This couples Probability Theory to Fuzzy Set Theory, and uses Zadeh's concept of the probability of a Fuzzy event. Estimation of the future performance level uses a methodology based on the Algebra of Logic and Measure Theory where exact analytical representations of the …

    uiuc Repository record for Synthesis of insightful algorithms (opens in a new tab)

  10. Automated demand response applied to a set of commercial buildings

    … for demand response. Next this paper presents a fuzzy method for predicting a facilitys baseline load profile. The baseline load profile is the predicted energy use of a facility during a demand response event in the absence of any energy reduction. During a demand response event, building …

    unm Repository record for Automated demand response applied to a set of commercial buildings (opens in a new tab)

  11. Dynamics of Organizational Populations - An Ecological Analysis of the Corporate Identity Consultancy in Shenzhen, China

    … (1) competition dynamics of organizations in a fuzzy-set construction, and (2) emergence of organizational forms, in the context of corporate identity consultancy in Shenzhen, China. The empirical setting is significantly different from existing organizational studies, in that the population …

    durham Repository record for Dynamics of Organizational Populations - An Ecological Analysis of the Corporate Identity Consultancy in Shenzhen, China (opens in a new tab)

  12. Quality in crowdsourced experience-based evaluations : handling subjective responses

    … and novel concepts and methods connected to fuzzy set theory, which aims to find approximate, achievable and robust solutions, can be used to address these challenges. Among the novel proposed concepts, augmented appraisal degrees and augmented (Atanassov) intuitionistic fuzzy sets are deemed …

    ghent Repository record for Quality in crowdsourced experience-based evaluations : handling subjective responses (opens in a new tab)

  13. A fuzzy set paradigm for conceptual system design evaluation

    … analysis, and evaluation. Concepts from fuzzy set theory and the calculus of fuzzy arithmetic were adapted to address and manipulate imprecision and subjectivity. A number of design decision aids were developed to reduce the gap between commitment and project specific knowledge, to …

    vt Repository record for A fuzzy set paradigm for conceptual system design evaluation (opens in a new tab)

  14. Integration of Multidimensional Signal Detection Theory with Fuzzy Signal Detection Theory

    Signal detection theory (SDT) has proven to be a robust and useful statistical model for analyzing human performance in detection and decision making tasks. As with many models extensions have been proposed in order capture and represent the real world to a greater degree. Multidimensional Signal …

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  15. Implementation and evaluation of an intelligent tuner for an ill-defined servo-motor system

    … highest level, tuning knowledge expressed as a set of linguistic rules is generated and mathematically formulated using fuzzy set theory and fuzzy logic. This leads to the development of an off-line decision table in which tuning actions are matched with the servo-motor performance. A computer …

    ubc Repository record for Implementation and evaluation of an intelligent tuner for an ill-defined servo-motor system (opens in a new tab)

  16. Integration of Bayesian Decision Theory and Computing with Words: A Novel Approach to Decision Support Using Z-numbers

    … support approaches, such as Bayesian decision theory and computing with words, compare and analyze the consequences of different decision alternatives. Bayesian decision methods use probabilities to handle uncertainty and have been widely used in different areas for estimating, predicting, and …

    siu-theses Repository record for Integration of Bayesian Decision Theory and Computing with Words: A Novel Approach to Decision Support Using Z-numbers (opens in a new tab)

  17. FRACTAL BASED FRAMEWORK FOR TIME SERIES VOLATILITY PREDICTION

    … pricing financial derivatives and modelling asset behaviour by bringing together fractional Brownian motion (fBm), fuzzy logic, and jump processes, all aligned with the no–arbitrage principle. In particular, our mathematical developments include fBm defined through Mandelbrot–Van Ness kernels, …

    westminster Repository record for FRACTAL BASED FRAMEWORK FOR TIME SERIES VOLATILITY PREDICTION (opens in a new tab)

  18. The scribal fingerprint: a graphetic analysis of MS Glasow University Library Hunter 83

    … By applying the graphetic element of this theory to MS Hunter 83, the main body of this thesis presents two ‘scribal fingerprints’, ultimately singling out graphetic behaviour characteristic of both hands. The primary aim of this thesis is an in-depth analysis of the letter forms which will …

    glasgow Repository record for The scribal fingerprint: a graphetic analysis of MS Glasow University Library Hunter 83 (opens in a new tab)

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