1967 Administrative Staff

In October of 1967 the Administrative Staff moved to their new general offices at the Glenridge Campus. Pictured here from left to right are: Elizabeth Koschok, Roger Reynolds, Edith Toth, Jean Zurowski, Jenny Gurski, Ed. Mitchelson, Ruth Urbanic, and Jennie Balasak.

Niagara Editorial Bureau/Ontario Editorial Bureau Administrative Records

Fonds contains materials related to the St. Catharines, Hamilton and Toronto Offices of the Ontario Editorial Bureau, from the early 1940s to 2008. All invoices and personal documents (life insurance plans, T4 slips, vacation pay, doctor's notes etc.) have been removed from this collection. Resumes have been removed and, if appropriate, placed in the biographical file. Duplicates have been removed.

Photograph - Baie Comeau, Administrative Building, etc.

A photograph of the Administrative Buidling, staff dining room and cement sewer as construction continues at Baie Comeau.

An Abstract Algebraic Theory of L-Fuzzy Relations for Relational Databases

Classical relational databases lack proper ways to manage certain real-world situations including imprecise or uncertain data. Fuzzy databases overcome this limitation by allowing each entry in the table to be a fuzzy set where each element of the corresponding domain is assigned a membership degree from the real interval [0…1]. But this fuzzy mechanism becomes inappropriate in modelling scenarios where data might be incomparable. Therefore, we become interested in further generalization of fuzzy database into L-fuzzy database. In such a database, the characteristic function for a fuzzy set maps to an arbitrary complete Brouwerian lattice L. From the query language perspectives, the language of fuzzy database, FSQL extends the regular Structured Query Language (SQL) by adding fuzzy specific constructions. In addition to that, L-fuzzy query language LFSQL introduces appropriate linguistic operations to define and manipulate inexact data in an L-fuzzy database. This research mainly focuses on defining the semantics of LFSQL. However, it requires an abstract algebraic theory which can be used to prove all the properties of, and operations on, L-fuzzy relations. In our study, we show that the theory of arrow categories forms a suitable framework for that. Therefore, we define the semantics of LFSQL in the abstract notion of an arrow category. In addition, we implement the operations of L-fuzzy relations in Haskell and develop a parser that translates algebraic expressions into our implementation.