the main rock mass classification systems make use of similar rock mass parameters. due to lack of comprehensive estimation systems, determining the real specifications of jointed rocks faces some difficulties. a vast number of parameters with various degrees of impact are involved in such definitions. combination impact of all the effective parameters is to be figured out in order to come up w...

This paper identifies ways in which traditional approaches to argumentation can be modified to meet the needs of practical group decision support. A framework for outcome-driven decision rationale management is proposed that permits a novel conception of mixed-initiative argumentation. The framework is evaluated in the context of group decision support in medicine.

This paper identifies ways in which traditional approaches to argumentation can be modified to meet the needs of practical group decision support. Three specific modifications are proposed. Firstly, a framework for accrual-based argumentation is presented. Second, a framework for outcome-driven decision rationale management is proposed that permits a novel conception of mixed-initiative argumen...

Knowledge-Based Decision Support Systems (KBDSS) have evolved greatly over the last few decades. The key technologies underpinning the development of KBDSS can be classified into three categories: technologies for knowledge modelling and representation, technologies for reasoning and inference, and Web-based technologies. In the meantime, service systems have emerged and become increasingly imp...

In this article, an argument for validation of design–decision methods is presented. In the process of justifying the need for validation, several criteria for a valid design–decision method are introduced. These criteria represent a starting point from which the research community can continue to debate and ponder the validation issue. Under these criteria, a critical empirical investigation o...

Fault diagnosis has always been an essential aspect of control system design. This is necessary due to the growing demand for increased performance and safety of industrial systems is discussed. Support vector machine classifier is a new technique based on statistical learning theory and is designed to reduce structural bias. Support vector machine classification in many applications in v...