NDLI: An Intelligent System to Monitor the Chemical Concentration of Electroplating Process: An Integrated OLAP and Fuzzy Logic Approach

Content Provider	Springer Nature Link
Author	Leung, R.W.K. Lau, H.C.W. Kwong, C.K.
Copyright Year	2004
Abstract	To cope with the issue of ``brain drain'' intoday's competitive industrial environment, itis important to capture relevant experience andknowledge in order to sustain the continualgrowth of company business. In this respect,the study in the domain of knowledge learningis of paramount importance in terms ofcapturing and reuse of tacit and explicitknowledge. To support the process of knowledgelearning, a methodology to establish anintelligent system, which consists of bothOn-Line Analytical Processing (OLAP) and fuzzylogic principles, is suggested. This paperattempts to propose this approach forintegrating OLAP and fuzzy logic to form anintelligent system, capitalizing on the meritsand at the same time offsetting the drawbacksof the involved technologies. In this system,the values and positions of related fuzzy setsare modified to suit the industrialenvironment, supporting smoother operation withless error. To validate the feasibility of theproposed system, a case study related to themonitoring of chemical concentration of PCBelectroplating process is covered in thepaper.
Starting Page	139
Ending Page	159
Page Count	21
File Format	PDF
ISSN	02692821
Journal	Artificial Intelligence Review
Volume Number	21
Issue Number	2
e-ISSN	15737462
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2004-01-01
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	Computer Science Artificial Intelligence (incl. Robotics) Nonlinear Dynamics, Complex Systems, Chaos, Neural Networks
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Linguistics and Language

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Fuzzy Logic: Misconceptions and Clarifications

Fuzzy Logic for Biological and Agricultural Systems

On Some Alleged Misconceptions about Fuzzy Logic

USCSH: An Active Intelligent Assistance System

Multiple-Valued Logic and Artificial Intelligence Fundamentals of Fuzzy Control Revisited

Editorial – Artificial Intelligence in Logic Design

Editorial Intelligent Help Systems for UNIX: Natural Language Dialogue

Planning Intelligent Responses in a Natural Language System

Expressive Applications of Constraint Logic Programming

An Intelligent System to Monitor the Chemical Concentration of Electroplating Process: An Integrated OLAP and Fuzzy Logic Approach

Similar Documents

Fuzzy Logic: Misconceptions and Clarifications

Fuzzy Logic for Biological and Agricultural Systems

On Some Alleged Misconceptions about Fuzzy Logic

USCSH: An Active Intelligent Assistance System

Multiple-Valued Logic and Artificial Intelligence Fundamentals of Fuzzy Control Revisited

Editorial – Artificial Intelligence in Logic Design

Editorial Intelligent Help Systems for UNIX: Natural Language Dialogue

Planning Intelligent Responses in a Natural Language System

Expressive Applications of Constraint Logic Programming

An Intelligent System to Monitor the Chemical Concentration of Electroplating Process: An Integrated OLAP and Fuzzy Logic Approach