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Проектирование нечетких систем средствами MATLAB

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Рассмотрены вопросы проектирования нечетких систем в пакете Fuzzy Logic Toolbox вычислительной среды MATLAB. Даны необходимые сведения в области теории нечетких множеств и нечеткой логики. Приведен теоретический материал по проектированию нечетких систем. Изложены теория нечеткой идентификации, методы нечеткой кластеризации и их применение для экстракции нечетких правил, а также метод принятия решений в нечетких условиях на основе слияния целей и ограничений. Рассмотрены авторские расширения пакета для проектирования нечетких классификаторов, построения иерархических нечетких систем, обучения нечетких баз знаний типа Мамдани, а также для логического вывода при нечетких исходных данных. Книга может использоваться как учебное пособие к университетским курсам по интеллектуальным системам, искусственному интеллекту, теории принятия решений и методам идентификации.
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... The tools of the Fuzzy Sets Theory and Fuzzy Logic are well studied, described and successfully used in many areas of management (Lazzerini et al. 2000, Shtovba 2007. As known, a composition of single fuzzy judgments about CSR indicators is connected by AND, OR, NO operators, and as a result, fuzzy rules can be obtained for certain criteria regarding successful CSR activity or contribution into sustainable development. ...
... A fuzzy inference is, approximations of the "input-output" dependence based on linguistic judgments <if-then> and logical operations on fuzzy sets. As a result, a fuzzy inference, for example, a ranking of airlines, can be gotten according to given indicators, criteria, MFs, fuzzy rules and methods of fuzzy inference (Shtovba 2007). This approach, in our opinion, will support the successful resolution of the problem of creating a generally applicable methodology and relevant techniques for assessing CSR with the transition from fuzzy, descriptive conclusions about the contribution of an airline, or airport, to the sustainable development of society, to formalized, reasoned conclusions, thereby allowing a more transparent and meaningful rating and corresponding ranking. ...
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