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Computer and Computing Technologies in Agriculture V: 5th by Wenqin Cao, Haiyan Zhu, Bin Li (auth.), Daoliang Li, Yingyi

By Wenqin Cao, Haiyan Zhu, Bin Li (auth.), Daoliang Li, Yingyi Chen (eds.)

The three-volume set IFIP AICT 368-370 constitutes the refereed post-conference court cases of the fifth IFIP TC five, SIG 5.1 overseas convention on laptop and Computing applied sciences in Agriculture, CCTA 2011, held in Beijing, China, in October 2011. The 189 revised papers awarded have been rigorously chosen from a variety of submissions. They hide a variety of fascinating theories and purposes of data expertise in agriculture, together with simulation versions and decision-support structures for agricultural construction, agricultural product caliber checking out, traceability and e-commerce expertise, the applying of data and conversation expertise in agriculture, and common info carrier know-how and repair structures improvement in rural components. The sixty two papers integrated within the first quantity specialise in determination help structures, clever platforms, and synthetic intelligence applications.

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Extra info for Computer and Computing Technologies in Agriculture V: 5th IFIP TC 5/SIG 5.1 Conference, CCTA 2011, Beijing, China, October 29-31, 2011, Proceedings, Part I

Sample text

On the knowledge representation system S= (U, A, V, f), P ⊆ A , the indiscernibility relationship of attribute sets P is ind ( P ) = {( X , Y ) ∈ (U × U ) ∀a ∈ P, f ( x, a ) = f ( y , a )} . Indiscernibility relation ind (P) is the equivalence relation on U, all the equivalence classes is educed by ind (P), denoted by U / P, which constitutes a partition of the domain U. Definition 3. Knowledge representation system S=(U,CUD,V,f), ∀a ∈ C , if POSind(C)(ind(D)) = Posind(c-{a})(ind(D)), a is called unnecessary in C on D, otherwise, and is known as necessary in C on D.

In the past, regional economic factors and their impact on logistics are limited to qualitative analysis, which is subjectively appraisal, lack of data support. GRA can rule out subjectivity and arbitrariness at a certain extent, which make traditional approach quantitative, scientific and artificial intelligence. Conclusion based on GRA is more comprehensive, objective and impartial. Further study is considered to the amendment of statistical data. Some Statistical data has its own shortcomings, data of freight traffic has big jump in some years.

Thus, data tables that may be consistent and inconsistent are handled by a unified approach. According to the above approach, the value reduction resulting are shown in Table 5, each row of which represents a decision rule. Decision attribute value f is discretized into five zones, namely the information system has five concepts. Based on the reduction results of Table 5, some of rules are analyzed as follows. Research on Knowledge Acquisition of Motorcycle Intelligent Design System 25 Table 5.

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