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Fuzzy locating system
Fuzzy locating is a rough but reliable method based on appropriate measuring technology for estimating a location of an object. The concept of precise or ''crisp locating'' is replaced with respect to the operational requirements and the economic viability. In most cases the knowledge of exact coordinates does not contribute to operations, but the spatial or planar relation between entities is relevant. Hence fuzzy locating determines the radial distances between entities involved in an operational process and reduces the required accuracy of measurement to basic qualities of ''close'', ''near'' or ''far'' and to relations simple as ''in'' or ''out''. However such segregation shall be achieved with high reliability and sound repetition.
== Basics ==
The term ''fuzzy'' relates to rough spatial coincidence or contiguity assessment compared to the alternative ''crisp locating'', which derives precise coordinates of a location of an object. The fuzzy part of the locating process balances the physical and the mathematical portions of processing measurement data of the objects involved and a priori knowledge with the operational ambience.
The result of fuzzy locating shall suffice for operational support and not for metric confirmation of measures taken at earlier occasions. However, available information is exploited as ''a priori'' knowledge. Fuzzy locating compares with the distinction respectively segregation of mathematical logic with the terms ''crisp sets'' and ''crisp relations'' or ''fuzzy sets'' and ''fuzzy relations''.
Systematic and stochastic errors occurring under operational requirements and conditions turn virtually precise measures in a friendly ambience to fuzzy metrics. In even worse ambient conditions, which mostly applies to wireless propagation in ISM bands, this leads to erratic results and various misinterpretation. In consequence, the trade-off between technical effort and achieved operational support adjusts inevitably to physical limitations as well as to weaknesses in mathematical modeling. Better resolved balancing deliberately neglects classical terms of precision in favour of a strong commitment for operational unambiguity.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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