Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 32 for “"fuzziness"”.
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Effects of Misassignment on Bias in the Fuzzy Regression Discontinuity
… methodology to assess the extent to which fuzziness in RD created bias in the program effect estimate. The three major parameters investigated were: 1) region in which fuzzy data occurred, 2) percent of fuzzy data, and 3) the extent to which the variable driving misassignment was correlated …
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Optimizing parameters in fuzzy k-means for clustering microarray data.
… knowledge of the number of clusters, k, and the fuzziness parameter, b, limits the usage of fuzzy clustering. Few approaches have been proposed for assigning best possible values for such parameters. In this thesis, we use simulated annealing and fuzzy k-means clustering to determine the optimal …
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Relative-fuzzy: a novel approach for handling complex ambiguity for software engineering of data mining models
… two main defined classes of uncertainty namely: fuzziness and ambiguity, where ambiguity is ‘one-to-many’ relationship between syntax and semantic of a proposition. This definition seems that it ignores ‘many-to-many’ relationship ambiguity type of uncertainty. In this thesis, we shall use …
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A model for the investigation of cost variances: the fuzzy set theory approach
… example, they fail to handle the imprecision (fuzziness) surrounding the investigation decision. They are also based on the unrealistic assumptions of (1) a two-state system, and (2) constant level of accuracy and precision. In addition, the models suffer from the lack of applicability. They …
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Fuzzy logic and utility theory for multiobjective optimization of automotive joints
In the early design stage of automotive joints, fuzziness is omnipresent because designers reason in non quantitative terms and deal with imprecise data. Consequently, they need a design methodology that accounts for vagueness. Fuzzy sets and utility theory are appropriate tools because they link …
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Fuzzy random regression to improve coefficient estimation for Malaysian Agricultural Industry
… deduce from the statistical data and the fuzziness and randomness were treated based on the property of fuzzy random regression. The implementation of the fuzzy random regression method shows the significant capabilities to estimate the coefficient value to further improve the model …
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Data-based mathematical modeling: Development and application
… a local approximation for the mapping task. Fuzziness promotes continuity of the mapping constructed by HARP and smooths the mismatching of the local approximations in the neighboring subdomains. The Monte Carlo superposition of a sample of random partitions, reduces the localized …
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Exploring Hybridity in the 21st Century: The Working Lives of South Asian Ethnic Minorities from a British Born Generation in Bradford.
… categorisation of hybridities’ acknowledging ‘fuzziness and mélange, cut ‘n’ mix, and criss and crossover’ where identity is a complex-mix, always in flux. I conclude not only with this new theory of identity formation in the working lives of BB SAEMs, but also by arguing that by imposing the …
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A holistic approach to assessment of value of information (VOI) with fuzzy data and decision criteria. [Thesis]
… actions for evaluation. Secondly, the fuzziness of the data is captured through membership functions and the expected utility value of each financial parameter is estimated using the probability of the states conditioned to the membership functions - in the classical methodology, this …
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Fuzzy non-radial measures of relative technical efficiency using DEA
… on the input and output data and, it introduces fuzziness directly in the input and output sets. However, radial models alone are not sufficient to judge an DMU efficient because of excess in usage of inputs and slacks in the production of outputs. Under these circumstances, non- radial DEA …
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"Exploring the Dimensions of Organizational Capacity for Local Social Service Delivery Organizations Using a Multi-Method Approach"
… literature, the concept remains vague. Given the fuzziness of the concept of capacity, there is much opportunity to contribute to the field's knowledge and measurement of the concept. This dissertation adds depth to the capacity literature in public and nonprofit management by identifying, …
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FRACTAL BASED FRAMEWORK FOR TIME SERIES VOLATILITY PREDICTION
… evidence shows these variables often exhibit fuzziness and uncertainty. To address these limitations, this thesis proposes a novel unified framework that integrates fractional Brownian motion (fBM) and fuzzy processes to model financial systems characterised by both randomness and fuzziness. …
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The scribal fingerprint: a graphetic analysis of MS Glasow University Library Hunter 83
… it is possible to establish the degree of ‘fuzziness’ relating to this established palaeographical terminology. Lastly, and perhaps most interestingly, it may be possible to identify a dialectal difference, since it is said that scribe B wrote in a ‘typical Scottish hand’ (Matheson …
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Quality control charts under random fuzzy measurements
… on the field of study. Of late, the problem of Fuzziness and Randomness often brought into modern manufacturing processes by the shortening product life cycles and diversification (in product designs, raw material supply etc) has compelled researchers to invoke quality control methodologies in …
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The Baby project: processing character patterns in textual representations of language.
… each with progressive degrees of fuzziness in their processes. They are respectively named: Nonfuzz Babe, CorrBab and FuzzBabe. Nonfuzz Babe is used to test the first hypothesis and all three implementations are used to test the second hypothesis. A system description is presented …
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Measuring technical efficiency in a fuzzy environment
… a methodology that can be implemented when fuzziness is directly introduced in the input and output sets. The methodology merges data envelopment analysis with the fuzzy parametric programming framework developed by Carlsson and Korhonen (1986). The approach is particularly well suited to …
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Relational Approach to the L-Fuzzy Concept Analysis
… a minimal base of rules. All of them are using L-fuzziness due to uncertainty. This requires L-fuzzy relations that will be implemented as L -valued matrices. In the end, everything is nicely packed in a convenient application and implemented in Java programming language. Generally, our approach …
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Statistical mechanical theory of equilibrium structure and miscibility of polymer nanocomposites: effects of polymer chemical heterogeneity and architecture, and nanoparticle surface corrugation and softness
… nanoparticles with surface fluctuations and fuzziness. Monte Carlo integration and other computational techniques have been developed to compute the effective interactions between such particles. The morphologically diverse particles introduce additional length scales, making the physics …
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Contributions to spatial uncertainty modelling in GIS : small sample data
… for human beings"). These realities in practise (fuzziness and small datasets) leads to uncertainty, which is addressed by my research objective: "To model spatial environmental data with .fuzzy uncertainty, and to explore the use of small sample data in spatial modelling predictions, within …
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Semantic knowledge representation and analysis
… knowledge representation that incorporates this fuzziness and context-dependence of concepts. In particular, this thesis provides several algorithms for learning the meaning behind text by using a dataset of experiences to build up an internal representation of the underlying concepts. …
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