A Co-optimization PSO for Fuzzy Rule-Based Classifier Design Problem Based on Enlarged Hedge Algebras

Fuzzy Rule-Based Classifier (FRBC) design problem has been widely studied due to many practical applications. Hedge Algebras based Classifier Design Methods (HACDMs) are the outstanding and effective approaches because these approaches based on a mathematical formal formalism allowing the fuzzy sets based computational semantics generated from their inherent qualitative semantics of linguistic terms. HACDMs include two phase optimization process. The first phase is to optimize the semantic parameter values by applying an optimization algorithm. Then, in the second phase, the optimal fuzzy rule based system for FRBC is extracted based on the optimal semantic parameter values provided by the first phase. The performance of FRBC design methods depends on the quality of the applied optimization algorithms. This paper presents our proposed co-optimization Particle Swarm Optimization (PSO) algorithm for designing FRBC with trapezoidal fuzzy sets based computational semantics generated by Enlarged Hedge Algebras (EHAs). The results of experiments executed over 23 real world datasets have shown that Enlarged Hedge Algebras based classifier with our proposed co-optimization PSO algorithm outperforms the existing classifiers which are designed based on Enlarged Hedge Algebras methodology with two phase optimization process and the existing fuzzy set theory based classifiers

Anomalous Magnetic Dipole Moment (g−2)μ(g-2)\mu in 3-3-1 Model with Inverse Seesaw Neutrinos

We will show that the recent experimental value of the anomalous magnetic moment (AMM) of the charged lepton m , denoted as $a_mu (g-2)\mu/2$, can be explained successfully in a 3-3-1 model with right handed neutrino adding new heavy $SU (3)_L$ neutrinos singlets. Allowed regions satisfying the recent AMM data are illustrated numerically

Gasification of Biomass

Gasification is an indirect combustion of solid and liquid biomass by converting them to combustive syngas. Gasification is an alternative process for the traditional combustion, in which the emission of dust and toxic gases can be minimized. In this chapter, a comparison of these two biomass-to-heat conversion processes applied on biomass is presented in term of environmental impacts and technological benefits with a hope to provide readers a basic view of choices. Gasification is classified as in term of gasification agents, non-catalytic and catalytic process, and plasma assisted process. Popular types of gasification equipment, aka gasifiers, are introduced with working principles, through which the advantages and weakness of technology are briefly discussed

DOES CORPORATE SOCIAL RESPONSIBILITY ENHANCE TRUST AND QUALITY OF WORK LIFE OF WORKERS?

In recent decades, corporate social responsibility has emerged as a crucial goal in business. Several researchers have agreed that it is a win-win business strategy which contributes to the financial well-being of the firm. However, the question of how corporate social responsibility contributes to the well-being of workers is still unanswered, especially in transitioning markets like Vietnam. Realizing this role of corporate social responsibility in business, this study investigates the impact of corporate social responsibility on both trust in organization and quality of work life of workers in Vietnam. Based on a data set collected from 501 employees working for various firms in Ho Chi Minh City, Vietnam, the study finds that corporate social responsibility directly and indirectly (mediated by trust in organization)enhances quality of work life of workers. The findings of the study suggest that the government and management should pay close attention to corporate social responsibility and make efforts to communicate its corporate social responsibility mission and activities to their employees

Bioethanol Production from Lignocellulosic Biomass

An overview of the basic technology to produce bioethanol from lignocellulosic biomass is presented in this context. The conventional process includes two main steps. First, lignocellulose must be pretreated in order to remove lignin and enhance the penetration of hydrolysis agents without chemically destruction of cellulose and hemicellulose. Second, the pretreated material is converted to bioethanol by hydrolysis and fermentation. Some typical published studies and popular processing methods in attempts to improve the biomass conversion to bioethanol and increase the cost-effectiveness are also introduced briefly. Herein, the refinery of the resulted raw bioethanol mixture to obtain higher concentrated solution is not regarded