Open AccessUnknown Values Estimation in Incomplete Fuzzy Soft and Interval Valued Soft Matrices
Author(s) -
D. S. Hooda,
Seema Singh,
S. C. Malik
Publication year - 2021
Publication title -
asian journal of fuzzy and applied mathematics
Language(s) - English
Resource type - Journals
ISSN - 2321-564X
DOI - 10.24203/ajfam.v9i1.6550
Subject(s) - vagueness , ambiguity , interval (graph theory) , fuzzy logic , soft set , complete information , mathematics , dimension (graph theory) , data mining , fuzzy set , mathematical optimization , matrix (chemical analysis) , computer science , algorithm , artificial intelligence , mathematical economics , materials science , combinatorics , pure mathematics , composite material , programming language
In day-to-day problems, incomplete information due to unknown values in data is the cause of the loss of information which leads to uncertainly, ambiguity and vagueness. There are many reasons for unknown values in data, like errors in data collection, lack of data information, inappropriate technique, and illegibility of data which cause incompleteness in data. Thus, estimating the unknown values in data of various information systems is an important area of research. In this communication, the definitions of incomplete Fuzzy soft and interval-valued fuzzy soft matrices are given with application in numerical problems. An algorithm is proposed for unknown values estimation in an incomplete fuzzy soft matrix and applied in solving a numerical problem. An application of an incomplete fuzzy soft matrix after inserting the unknown values in dimension reduction is studied. The unknown values in the incomplete interval-valued fuzzy soft matrix are also estimated and applied in the multi-criteria decision-making method.