In early stages of architectural design, as in other design domains, the language used is often very abstract. In architectural design, for example, architects and their clients use experiential terms such as “private” or “open” to describe spaces. If we are to build programs that can help designers during this early-stage design, we must give those programs the capability to deal with concepts...

This paper presents the theoretical foundations of an intelligent online modelling tool capable of processing heterogeneous information on complex techno-economical systems. Its main functionality is to investigate, elicit, and apply rules and principles that govern the development processes of technologies and related markets. Specifically, we will focus on applications of the tool to model th...

The joint workshop in Data Mining for Environmental Scientists and Intelligent Environmental Decision Support Systems tries to provide a common discussion forum to communicate environmentalists with data miners and intelligent decision support systems developers. As environmentalists are the consumers of both products, Data Mining (DM) and Intelligent Decision Support Systems (IDSS) are complem...

Orion is NASA's new crew exploration vehicle. The Orion Project will be using a state-of-the art model-based software development process. This model-based software development process is new for the human space program, and implies both new opportunities and risks for NASA. Opportunities include gaining early insight into designs in the form of executable models, and formulation of requirement...

For the success of CRM, it is important to target the most profitable customers of a company. Many CRM researches have been performed to calculate customer profitability and develop a comprehensive model of it. Most of them, however, had some limitations and accordingly the customer segmentation based on the customer profitability model is still underutilized. This paper aims at providing an ea...

The selection decisions are complex, as intelligent manufacturing system selection is more challenging today. There is a need for simple, systematic, and logical methods or mathematical tools to guide decision makers in considering a number of selection attributes and their interrelations and in making right decisions. Although a large number of mathematical approaches are now available to eval...

When designing and implementing real world ambient intelligent systems, we are in need of applicable information systems engineering methods. These should supplement the knowledge engineering tools we can find in the intelligent systems area. The work presented here focuses on explanation-aware ambient intelligent systems. The ability to explain it’s reasoning and actions has been identified as...

In this paper, we develop a novel design artifact to support knowledge-driven predictive and explanatory decision analytics for a complex business process. Following Design Science research guidelines in Hevner et al, (2004), we show the development of the design artifact and evaluate the artifact’s effectiveness in providing intelligent decision support for a complex business process. We prese...

Today, we can observe a number of emerging trends in technologies for intelligent knowledge access, including search engines, categorisation tools and visualisation systems. This paper gives a brief overview of them, describes ongoing efforts to develop Semantic Web-based knowledge access tools and discusses how a semantic web-based approach can provide a coherent framework to address many of t...

This special issue is a selected collection of papers submitted to the Second International Symposium on Intelligent Systems Technologies and Applications (ISTA’16), September 21-24, 2016, Jaipur, India. These papers have been reviewed and accepted for presentation at the symposium and for publication in the Journal of Intelligent & Fuzzy Systems (JIFS). In this special issue there are 44 paper...