Titlebook: Soft Computing in Data Science; First International Michael W. Berry,Azlinah Mohamed,Bee Wah Yap Conference proceedings 2015 Springer Scie

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骇人

Contrast Comparison of Flat Electroencephalography Image: Classical, Fuzzy, and Intuitionistic Fuzzyimaging. Generally, the pixel values of an image may not be precise as uncertainty arises within the gray values of an image due to several factors. In this paper, the image of Flat EEG (fEEG) is compared via classical, fuzzy, and intuitionistic fuzzy set (IFS) methods. Furthermore, the comparison b

Gum-Disease

An Autocatalytic Model of a Pressurized Water Reactor in a Nuclear Power Generation a complex system since it contains uranium oxide. The aim of this paper is to model the process of operation for primary system in PWR in the form of graphical representation. The method of autocatalytic set approach of PWR has been introduced and presented in this paper. Further, the result of the

Entrancing

Selfish Gene Image Segmentation Algorithmom Darwin’s theory faced the problem of finding the optimal solution due to its inherent characteristic of genetic drift and premature convergence. Selfish gene views genes as the basic unit in evolution. Thus the color image segmentation algorithm is designed based on virtual population with collec

Virtues

Detecting IMSI-Catcher Using Soft Computingess trustful one due to the revelation of IMSI catchers that enable mobile phone tapping. To fight against these illegal infringements there are a lot of activities aiming at detecting these IMSI catchers. However, so far the existing solutions are only device-based and intended for the users in the

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paleolithic

A Parallel Latent Semantic Indexing (LSI) Algorithm for Malay Hadith Translated Document RetrievalSI has been proven to improve the retrieval performance, however, as the size of documents gets larger, current implementations are not fast enough to compute the result on a standard personal computer. In this paper, we proposed a new parallel LSI algorithm on standard personal computers with multi

Serenity

性冷淡

Data Quality Issues in Data Migrationeansed and transformed. Once the data are cleansed and transformed, the data will be loaded into a new system. Therefore, data cleansing is the most important activity in a data migration project. Data cleansing is the process of detecting and removing errors, inconsistencies and redundancies in order to improve the quality of data

不可思议

Possibility Vague Soft Expert Set Theory and Its Application in Decision Makingion are defined. The algebraic properties such as the De Morgan’s laws and the relevant laws of possibility vague soft expert sets are studied and subsequently proved. Lastly, this concept are applied to a decision making problem and its effectiveness is demonstrated using a hypothetical example.