Since real-world decision making include several decision steps, real-world decision making agents have several sophisticated diagnostic reasoning mechanisms. Thus, if we want to update these reasoning steps, we have to extract rules for each step from real-world datasets. However, one of the most important problems on rule induction methods is that they aim at induction of simple rules and can...

The Function Impact Method (FIM) is a semiquantitative eco-design methodology that is targeted specifically towards the early stages of the design process. The FIM allows a designer to predict the environmental impacts associated with a new functional embodiment by extrapolating knowledge from Life cycle assessment (LCA) of similar existing designs. LCA however, is associated with substantial s...

The purpose of this paper is to outline a conceptual model of consumer spatial decision making and choice behaviour and to investigate the use of various combination rules of consumer’s evaluations of attributes of shopping centres to predict spatial choice behaviour. The research findings indicate that the linear combination rules perform as well as the multiplicative rules and that both types...

The rapid technological development in the field of information and communication technology (ICT) has enabled the databases of super shops to be organized under a countrywide sales decision making network to develop intelligent business systems by generating enriched business policies. This paper presents a data mining framework for generating sales decision making information from sales data ...

For the processing of decision making with uncertainty information, this paper establishes a decision model based on lattice-valued logic and researches the algorithm for extracting the maximum decision rules. Firstly, we further research the lattice-valued fuzzy concept lattice by combining the lattice implication algebra and classical concept lattice; secondly, we define the lattice-valued de...

A model for simultaneous optimization of combinations of test-based decisions in psychology and education is proposed using Bayesian decision theory. The decision problem addressed consists of a combination of a placement and a mastery decision. Weak and strong decision rules are distinguished. As opposed to strong rules, weak rules are allowed to take prior test scores in the series of decisio...