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Articles 1 - 4 of 4
Full-Text Articles in Physical Sciences and Mathematics
Membership Functions For A Fuzzy Relational Database: A Comparison Of The Direct Rating And New Random Proportional Methods, Shweta Sanghi
Membership Functions For A Fuzzy Relational Database: A Comparison Of The Direct Rating And New Random Proportional Methods, Shweta Sanghi
Theses and Dissertations
Fuzzy relational databases deal with imprecise data or fuzzy information in a relational database. The purpose of this fuzzy database implementation is to retrieve images by using fuzzy queries whose common-language descriptions are defined by the consensus of a particular user community. The fuzzy set, which is presentation of fuzzy attribute values of the images, is determined through membership function. This paper compares two methods of constructing membership functions, the Direct Rating and New Random Proportional, to determine which method gives maximum users satisfaction with minimum feedback from the community. The statistical analysis of results suggests the use of Direct …
K X N Trust-Based Agent Reputation, Christopher Alonzo Parker
K X N Trust-Based Agent Reputation, Christopher Alonzo Parker
Theses and Dissertations
In this research, a multi-agent system called KMAS is presented that models an environment of intelligent, autonomous, rational, and adaptive agents that reason about trust, and adapt trust based on experience. Agents reason and adapt using a modification of the k-Nearest Neighbor algorithm called (k X n) Nearest Neighbor where k neighbors recommend reputation values for trust during each of n interactions. Reputation allows a single agent to receive recommendations about the trustworthiness of others. One goal is to present a recommendation model of trust that outperforms MAS architectures relying solely on direct agent interaction. A second goal is to …
A Comparison Of Methods To Construct An Optimal Membership Function In A Fuzzy Database System, Joanne Marie Cunningham
A Comparison Of Methods To Construct An Optimal Membership Function In A Fuzzy Database System, Joanne Marie Cunningham
Theses and Dissertations
A fuzzy set is one in which membership in a category is not Boolean, rather items have a degree of membership. Fuzzy databases expand on this idea by storing fuzzy data and allowing data to be retrieved based on its degree of membership. Determining the degree of membership that satisfies the largest number of users is difficult. Five different methods of determining the membership function: the Direct Rating Method, the Random Method with step sizes of .02 and .03, the Steplock Method, and the Weighted Average Method, were compared on the basis of convergence and user satisfaction. The results support …
Cowboy: An Agile Programming Methodology For A Solo Programmer, Ashby Brooks Hollar
Cowboy: An Agile Programming Methodology For A Solo Programmer, Ashby Brooks Hollar
Theses and Dissertations
Very little research in software engineering has focused on the model of a programmer working alone. These so-called cowboys are disdained for not working in teams to build software. In reality many cowboys work by themselves due to the circumstances of their work environment, not because they are unable or unwilling to work with well with others. These solo programmers could benefit from a methodology to assist them in consistently developing reliable software on time and within budget while satisfying the customer's needs. Cowboy was designed to help fill this void. This agile-based system incorporates the benefits of agile methodologies …