A rough set-based association rule approach implemented on exploring beverages product spectrum

[[abstract]]When items are classified according to whether they have more or less of a characteristic, the scale used is referred to as an ordinal scale. The main characteristic of the ordinal scale is that the categories have a logical or ordered relationship to each other. Thus, the ordinal scale data processing is very common in marketing, satisfaction and attitudinal research. This study proposes a new data mining method, using a rough set-based association rule, to analyze ordinal scale data, which has the ability to handle uncertainty in the data classification/sorting process. The induction of rough-set rules is presented as method of dealing with data uncertainty, while creating predictive if—then rules that generalize data values, for the beverage market in Taiwan. Empirical evaluation reveals that the proposed Rough Set Associational Rule (RSAR), combined with rough set theory, is superior to existing methods of data classification and can more effectively address the problems associated with ordinal scale data, for exploration of a beverage product spectrum.[[notice]]補正完畢[[incitationindex]]SCI[[booktype]]紙本[[booktype]]電子

Dissimilarity-Based Correlation of Movements and Events on Circular Scales of Space and Time

© 2020, Springer Nature Switzerland AG. Circular scales appear in many applications related to a comparative analysis of the timing of events, wind directions, animals and vehicle movement directions, etc. The paper introduces a new non-statistical correlation function on circular scales based on a recently proposed approach to constructing correlation functions (association measures) using (dis)similarity measures on the set with an involutive operation. An involutive negation and a dissimilarity function satisfying required properties on a circular set are introduced and used for constructing the new correlation function. This correlation function can measure correlation both between two grades of circular scale and between sets of measurements of two circular variables

Similarity-Based Correlation Functions for Binary Data

© 2020, Springer Nature Switzerland AG. The purpose of this study is to survey the correlation and association coefficients introduced previously on the set of binary n-tuples and to determine coefficients satisfying the properties of correlation functions. These functions were recently introduced on the sets with involutive operation as functions generalizing classical correlation coefficients: Pearson’s product-moment correlation, Spearmen’s and Kendall’ rank correlation coefficients, Yule’s Q and Hamann’s association coefficients, etc. It is shown that several, but not all, known correlation and association coefficients defined on the set of binary n-tuples, satisfy the properties of correlation functions. For these association coefficients, there were established similarity measures on the set of binary data that can be used for the generation of these association coefficients. A new parametric family of correlation functions for binary data is proposed. As a particular case, it contains Hamann’s association coefficient

Control of Linear Servo Pneumatic Drive Based on Fuzzy Controller and Knowledge Base

© 2020, Springer Nature Switzerland AG. The study is devoted to the control system of a linear pneumatic actuator based on fuzzy logic with the ultimate task of improving the quality of control indicators, namely the positioning accuracy at intermediate points of possible displacements, while maintaining high performance. Fuzzy inference techniques are widely used in the development of fuzzy controllers. The primary purpose of the fuzzy controller is to control an external object where the behavior of the managed object is described by fuzzy rules. Fuzzy logic controllers are the most important application of the fuzzy set theory. Their functioning differs from that of ordinary controllers by the fact the knowledge is used to describe the system instead of differential equations. The automated pneumatic actuator control system based on a fuzzy controller should be based on a knowledge base containing fuzzy frames (rules). The formation of this base is carried out on the basis of the knowledge of experts or the method of direct measurement with the help of control equipment