Детальная информация
| 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 |
| 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 |
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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