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Название Fuzzy theory systems: techniques and applications
Другие авторы Leondes Cornelius T.
Выходные сведения Amsterdam [etc.]: Elsevier Ltd. (Academic Press), 1999
Коллекция Электронные книги зарубежных издательств; Общая коллекция
Тематика Множеств теория; Принятие решений — Математическая теория
УДК 510.22; 681.51.01:519.816
Тип документа Другой
Тип файла Другой
Язык Английский
Права доступа Доступ из локальной сети ФБ СПбПУ (чтение, печать, копирование)
Ключ записи RU\SPSTU\edoc\52592
Дата создания записи 19.04.2018

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Applications of fuzzy theory (often referred to as "fuzzy logic") are maturing and multiplying at a phenomenal rate, and a comprehensive treatment of these real-world techniques and applications is now very timely. Unlike traditional computer logic involving clear true or false decisions, a fuzzy logic system chooses what is most true after "considering" several contributing and possibly conflicting variables. Examples of practical devices using fuzzy computer decision-making are thermostats that respond to a combination of temperature and humidity (comfort factors), an elevator that considers how crowded a car is rather than just its proximity to the desired floor, and a camera that integrates the variables affecting picture quality. These volumes will present a logical progression from implementation and modeling techniques to industrial/commercial applications to fuzzy neural and adaptive fuzzy systems.

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