As a practical approach for handling uncertainty, various fuzzy sets combined with traditional
OR (operations research) methods have found huge applications. However, the fuzzy …

This paper proposes a method for solving linear programming problems where all the
coefficients are, in general, fuzzy numbers. We use a fuzzy ranking method to rank the fuzzy …

As a continuation of the first part related to the first and second class of ordering approaches
this paper deals with the fulfilment of reasonable properties in the third class of ordering …

We present some interesting properties related to the area compensation procedure to
compare fuzzy numbers. It has been proved that this method produces more than a fuzzy …

This paper investigates the problems of decision making with multiple judge, multiple criteria
in a fuzzy environment, where the performance of alternatives and the importance of criteria …

A two-stage logarithmic goal programming (TLGP) method is proposed to generate weights
from interval comparison matrices, which can be either consistent or inconsistent. The first …

This chapter is an overview of past and present works dealing with fuzzy intervals and their
operations. A fuzzy interval is a fuzzy set in the real line whose level-cuts are intervals …

When ranking a large quantity of fuzzy numbers, the efficiency, accuracy, and effectiveness
of the ranking process is critical. The paper considers the application of"/spl alpha/-cut" and" …

This paper presents a method for ranking fuzzy numbers based on the comparison of
expected intervals of these numbers. This relation is fuzzy and it verifies the …

In statistical inference hypotheses related to different kinds of phenomena are formulated,
and then data are collected and analyzed, which either confirm or falsify these hypotheses …