Fuzzy Database Modeling Of Imprecise And Uncertain Engineering Information(1st Edition)

Book details

Book Price $0 : Computer-based Information Technologies Have Been Extensively Used To Help Industries Manage Their Processes And Information Systems Hereby - Come Their Nervous Center. More Specially, Databases Are Designed To S- Port The Data Storage, Processing, And Retrieval Activities Related To Data Management In Information Systems. Database Management Systems P- Vide Efficient Task Support And Database Systems Are The Key To Impleme- Ing Industrial Data Management. Industrial Data Management Requires Da- Base Technique Support. Industrial Applications, However, Are Typically Data And Knowledge Intensive Applications And Have Some Unique Character- Tics That Makes Their Management Difficult. Besides, Some New Techniques Such As Web, Artificial Intelligence, And Etc. Have Been Introduced Into - Dustrial Applications. These Unique Characteristics And Usage Of New Te- Nologies Have Put Many Potential Requirements On Industrial Data Mana- Ment, Which Challenge Todayâ??s Database Systems And Promote Their Evolvement. Viewed From Database Technology, Information Modeling In Databases Can Be Identified At Two Levels: (conceptual) Data Modeling And (logical) Database Modeling. This Results In Conceptual (semantic) Data Model And Logical Database Model. Generally A Conceptual Data Model Is Designed And Then The Designed Conceptual Data Model Will Be Transformed Into A Chosen Logical Database Schema. Database Systems Based On Logical Database Model Are Used To Build Information Systems For Data Mana- Ment. Much Attention Has Been Directed At Conceptual Data Modeling Of - Dustrial Information Systems. Product Data Models, For Example, Can Be Views As A Class Of Semantic Data Models (i. E. See more