The Experts below are selected from a list of 57 Experts worldwide ranked by ideXlab platform

Hoa Nguyen - One of the best experts on this subject based on the ideXlab platform.

  • towards a fuzzy probabilistic Relational Data Base model
    Knowledge and Systems Engineering, 2015
    Co-Authors: Hoa Nguyen
    Abstract:

    In the recent years, many fuzzy or probabilistic DataBase models have been built to represent and handle imprecise or uncertain information in the real world. However, Relational DataBase models combining the relevance and strength of both fuzzy set theory and probability theory have rarely been proposed. This paper is the first step to build a fuzzy probabilistic Relational Data Base model (FPRDB) for representing and handling vague and uncertain information. In this model, the tuple attribute value of relations is uncertain and imprecise represented by a fuzzy probabilistic triple. Using the probabilistic interpretation of relations on fuzzy sets for measuring the probability of binary relations of fuzzy set values of attributes, then, we formally define the notions of schemas, fuzzy probabilistic relations, fuzzy probabilistic functional dependencies and selection operation for FPRDB.

  • KSE - Towards a Fuzzy Probabilistic Relational Data Base Model
    2015 Seventh International Conference on Knowledge and Systems Engineering (KSE), 2015
    Co-Authors: Hoa Nguyen
    Abstract:

    In the recent years, many fuzzy or probabilistic DataBase models have been built to represent and handle imprecise or uncertain information in the real world. However, Relational DataBase models combining the relevance and strength of both fuzzy set theory and probability theory have rarely been proposed. This paper is the first step to build a fuzzy probabilistic Relational Data Base model (FPRDB) for representing and handling vague and uncertain information. In this model, the tuple attribute value of relations is uncertain and imprecise represented by a fuzzy probabilistic triple. Using the probabilistic interpretation of relations on fuzzy sets for measuring the probability of binary relations of fuzzy set values of attributes, then, we formally define the notions of schemas, fuzzy probabilistic relations, fuzzy probabilistic functional dependencies and selection operation for FPRDB.

Peter Maurer - One of the best experts on this subject based on the ideXlab platform.

  • Riss A Relational Data Base Management System For Minicomputers
    2020
    Co-Authors: Peter Maurer
    Abstract:

    Thank you very much for reading riss a Relational Data Base management system for minicomputers. Maybe you have knowledge that, people have search hundreds times for their chosen novels like this riss a Relational Data Base management system for minicomputers, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they juggled with some infectious virus inside their laptop.

Marcel Bauer - One of the best experts on this subject based on the ideXlab platform.

  • Riss A Relational Data Base Management System For Minicomputers
    2020
    Co-Authors: Marcel Bauer
    Abstract:

    Thank you very much for downloading riss a Relational Data Base management system for minicomputers. Maybe you have knowledge that, people have look numerous times for their chosen books like this riss a Relational Data Base management system for minicomputers, but end up in infectious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some harmful virus inside their desktop computer.

Amy Bradstreet - One of the best experts on this subject based on the ideXlab platform.

  • Application of Relational Data Base Structure for Managing Network Information
    Transportation Research Record, 1996
    Co-Authors: Vijay Perincherry, John E. Evans, Amy Bradstreet
    Abstract:

    Working with transportation networks can be tedious and confusing. Most transportation modeling packages available treat components of a transportation network independently and require coding complete networks for all alternatives. This approach has several weaknesses: it is time consuming, requires duplicate information to be stored for each alternative, and misrepresents the interactive nature of the many network attributes. A Relational Data Base structure in conjunction with effective network management software can be used to capture the interrelationship of network characteristics, facilitate network updates, and maintain all the network scenarios in one Data file. The approach, benefits, and implementation of such a system are described.

Vijay Perincherry - One of the best experts on this subject based on the ideXlab platform.

  • Application of Relational Data Base Structure for Managing Network Information
    Transportation Research Record, 1996
    Co-Authors: Vijay Perincherry, John E. Evans, Amy Bradstreet
    Abstract:

    Working with transportation networks can be tedious and confusing. Most transportation modeling packages available treat components of a transportation network independently and require coding complete networks for all alternatives. This approach has several weaknesses: it is time consuming, requires duplicate information to be stored for each alternative, and misrepresents the interactive nature of the many network attributes. A Relational Data Base structure in conjunction with effective network management software can be used to capture the interrelationship of network characteristics, facilitate network updates, and maintain all the network scenarios in one Data file. The approach, benefits, and implementation of such a system are described.