ISKE 2023 Special Session on Decision Systems and e-Service Intelligence

The 2023 IEEE International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2023) is the 18th in a series of ISKE conferences. The conference will be held in Fuzhou, a beautiful place in southeast of China.

The conference proceedings will be published by IEEE Press (sent to be EI indexed). Special issues of SCI indexed journals will be devoted to a strict refereed selection of extended papers presented at ISKE 2023.

Scope and Motivation

Business organizations and governments are nowadays developing and providing internet-based electronic services (e-services) featuring various intelligent functions. The distinction between conventional service systems and e-service systems is that the e-service systems integrate intelligent techniques into decision systems for realizing intelligent internet information searching, presentation, provision, recommendation, online system design, implementation, and assessment to internet users. Hence, the main aim of a decision system is to provide the customer with easily understood knowledge. The decision system is useful because many different types of reports can be configured, all based on user preferences. However, societal, and technological trends make decision environments more and more complex. To handle the issue, intelligent decision-making technology has been studied, which aims to 1) deal with complex decision information (such as uncertain and inconsistent information), and 2) provide good decision support to deal with these complex decision-making problems.

Decision system is highly visible in both e-Service Intelligence and applications and becomes a hot direction in e-Service and artificial intelligence in recent years. The decision system can be used by managing operations and other planning divisions of an enterprise to gather and synthesize data and information efficiently. In e-services, a decision system gathers and analyzes data to create comprehensive information about customers. It varies from a normal operations application, the purpose of which is only to collect data, as an information application. The key technologies underpinning the development of decision systems can be classified into three categories: technologies for knowledge modeling and representation, technologies for reasoning and inference, and Web-based technologies. In the meantime, service systems have emerged and become increasingly important to value-adding activities in the current knowledge economy. Over the past few years, we have also witnessed compelling evidence of successful investigations on the use of decision systems to support real-world applications, e.g., computer version, natural language processing, privacy protection, spam filtering, credit analysis, and medical analysis. Considering these observations, it is instructive, vital, and timely to offer a unified view of the current trends and form a broad forum for fundamental and applied research as well as the practical development of decision systems for improving e-service intelligence.

The special session aims to provide theories, methods, and software systems to help organizations make better, more informed decisions and give them an edge as they chart their course through the sea of Big Data. Special attention is paid to the rigorous motivation of the approaches put forward and to the validation support using real practical applications.