Question: Given two binary fuzzy relations R and M , R : T D and M : T T describe a relevance relation and a fuzzy

Given two binary fuzzy relations R and M, R : T D and M : T T describe a relevance relation and a fuzzy thesaurus, respectively. Rij describes a degree of relevance of given index terms ti T to a given document dj D, while Mkl describes the degree of similarity in the meaning of the index terms tk and tl.
Consider the set D ={d1, d2,..., d5}
of only 10 documents, and the set
T ={t1, t2,..., t5}
of the following index terms:
t1: fuzzy number
t2: fuzzy arithmetic
t3: fuzzy relation
t4: fuzzy set
t5: fuzzy proposition
Assume that the relevance of these index terms to the individual documents in set D has been determined and is expressed by the matrix R below:
R d1 d2 d3 d4 d5
t10.200.701
t200.300.91
t300.6010.5
t400.3000
t50.410.80.51
Also assume that the similarity in meanings of the index terms has been expressed by the matrix M below:
M t1 t2 t3 t4 t5
t110.510.30.8
t20.510.70.10
t310.7100.2
t40.30.1010.9
t50.800.20.91
In fuzzy information retrieval, any users inquiry may be expressed by a fuzzy set Ion T , in which the membership grade is a degree of the possible users inquiry.
I ={0.3/t1,0.7/t2,1/t3,0.8/t4,0.9/t5}
1)[10] An augmented inquiry, A, may be extended from the original inquiry by associated index terms:
A = I M.
Compute A with an augmented inquiry of a user I from the given relations matrices above.
2)[10] The retrieved documents are characterized by a fuzzy set Q on D, by composing the augmented inquiry A with the relevance relation A, Q = A R. Compute Q for a user I.
3)[5] The set Q characterizes the degree to which each document matches with the users interest as expressed by her/his inquiry. What document is Is the most interest.
Given two binary fuzzy relations R and M , R : T

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