Logic algorithm

Evaluation in the microprocessor may be carried out conventionally, in accordance with fuzzy logic algorithms or even on the basis of so called neural networks. To what extent such terms can be advertised to the end user as a type of quality criterion remains to be seen. For consumers these differences are largely of no consequence as they always receive clean, hygienic, problem-free laundry for which only the absolutely essential quantities of the required resources of water, energy and chemicals have been used. 

Table 7.2 Authentication of mono varietal virgin olive oils comparative results of fuzzy logic algorithms (Calvente and Aparicio, 1995) and the supervised chemometric procedure of linear discriminant analysis. Chemical compounds used linolenic acid, 24-methylen-cycloarthanol sterol and copaene hydrocarbon...

The classification accuracy obtained using fuzzy logic algorithm based system and the average classification accuracy by the three experts for the five varieties of mango is presented in Table4. 

Figure 5. The statistical evaluation of risk index (ir) is part of risk estimation step of risk assessment logic algorithm.

This chapter introduces the technique of logical signaljoining for three individual independent measuring channels and three different logical algorithms. These algorithms are described in chapters before and shown on Figure 1. To start the analysis it is necessary to define complete list of possible states for each individual sensor. 

One can notice that some (most of them) identification numbers in tablet above are missing. That is evoked because we did not take into account latent failures, so states 2 and 4 for each sensor are skipped. This fact leads to the problem that we are not able to get relevant data for profitability evaluation of some mentioned logical algorithm processing from this table. 

Two distinct LEA based on Fuzzy Logic are presented in this section. The first algorithm is based on the concept of distance where the Fuzzy Logic Algorithm determines which FM points that are considered in the estimation of the current location [12]. The second algorithm is based on pattern search, and it determines the location based on the pattern formed by the RSS values of the detected references [5]. 

Fuzzy Logic Algorithm Based on the Concept of Distance... 

Observing the histogram for the distances (in the signal domain) of all data samples collected with the three terminals (Figs. 13.7, 13.8 and 13.9), the best performance of the Sonny Ericsson in what concerns to the precision, using the first Fuzzy Logic Algorithm, since it has more points that will be classified as Very Close was already expected. 

Mamadani, E. H. (1974). Application of fuzzy logic algorithms for control of simple dynamic plant. Proceedings of the Institution of Electrical Engineers, 29, 1585-1588. doi 10.1049/ piee. 1974.0328... 

Stage B Design of a logic algorithm (and possibly its transformation) ... 

This chapter is organized as follows. In Section 4.1, we discuss the elaboration of specifications. Section 4.2 is about the design of logic algorithms, whereas Section 4.3 is about their transformation. Section 4.4 describes the derivation of logic programs, whereas Section 4,5 describes their transformation. 

Note that we say logic algorithm where [Deville 90] says logic description . This terminology was already used in [Deville 87], which was the starting point for [Deville 90]. 

Definition 4-2 A logic algorithm defining a predicate r/n, denoted LA r), is a closed well-formed formula of the form ... 

In the following, we drop the universal quantifications in front of the heads, as well as any existential quantifications at the beginnings of bodies of logic algorithms. 

Example 4-3 A possible version of LA(compress) is Logic Algorithm 4-1. Example 4-4 A possible version of LA(firstPlateau) is Logic Algorithm 4-2. 

This allows a definition of logic algorithm correctness that is only in terms of the specifications of the used predicates. It establishes an equivalence between the specified relation and the set of Herbrand-logical consequences of the logic algorithm. 

Let s explain these four steps one by one. Note that this method is proven to yield correct logic algorithms. A tool, called Logist, is being developed for the Folon environment to assist a designer in following these steps [Deville and Bumay 89]. 

Most problems can be implemented by logic algorithms with induction over a simple induction parameter. 

In the sequel, when talking about a logic algorithm LA(r), we sometimes write LA r-X) to show that X was selected as induction parameter. Note however that the predicate defined by LA(r-X) still is r, and not r-X. 

An interesting exercise is to compare logic algorithms designed by induction on different parameters, or using different well-founded relations. Considering the heuristics above, it is no surprise that, for a binary predicate r having X and Y as parameters, LA r-int-X) and LA r-ext-Y) are structurally similar, or that LA r-int-Y) and LA r-ext-X) are structurally similar. 

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