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Knowledge engineering for expert systems

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When you read more every page of this knowledge engineering for expert systems, what you will obtain is something great.
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Read more and get great! That's what the book enPDFd knowledge engineering for expert systems will give for every reader to read this book. This is an on-line book provided in this website. Even this book becomes a choice of someone to read, many in the world also loves it so much. As what we talk, when you read more every page of this knowledge engineering for expert systems, what you will obtain is something great.

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Journal ArticleDOI

Knowledge elicitation using discourse analysis

TL;DR: The use of discourse analysis and observation to acquire knowledge about expert problem solving in an information provision environment and an intelligent document retrieval system based on a distributed expert, blackboard architecture are described.
Journal ArticleDOI

A MCDM-based expert system for climate-change impact assessment and adaptation planning - A case study for the Georgia Basin, Canada

TL;DR: An MCDM-based expert system was developed to tackle the interrelationships between the climate change and the adaptation policies in terms of water resources management in the Georgia Basin, Canada and can be applied to other watersheds to facilitate assessment of climate-change impacts on socio-economic and environmental sectors.
Journal ArticleDOI

Automated soil inference under fuzzy logic

TL;DR: The methodology combines fuzzy logic with GIS and expert system development techniques to infer soil series from environmental conditions and can be used to infer local soil properties at values intermediate to the typical or central values assigned to each possible series.
Journal ArticleDOI

A web-based integrated system for international project risk management

TL;DR: In this article, the authors present a web-based decision support system that is closely associated with relevant risks and each cycle of sequential decisions, which allows easier access than those of stand-alone or intranet systems.
Journal ArticleDOI

The application of psychological scaling techniques to knowledge elicitation for knowledge-based systems

TL;DR: Results from a study on the elicitation of knowledge about levels of abstraction for a set of Unix commands from experienced Unix users indicated that the representations obtained using this methodology can be used to obtain more abstract representations of that knowledge.