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 new approach to selecting improvement projects (IPs). It allows the
evaluation and prioritization of projects taking into account a proposed set of criteria as a key …

In this paper, two new techniques, linguistic fuzzy simple additive weighting (FSAW) and
linguistic fuzzy technique for order of preference by similarity to the ideal solution (FTOPSIS) …

The aim of the paper is to present a practical solution to a particular real-life problem of
discrete flow control in a manufacturing system. For this purpose a fuzzy Multi-Criteria …

Abstract Multiple Attribute Decision Making methods have become very popular in recent
years and are frequently applied in many real-life situations. The increasing complexity of …

The commonly accepted theory of fuzzy numbers (Czogała and Pedrycz, 1985) is that set up
by Dubois and Prade (1978), who proposed a restricted class of membership functions …

Abstract Gradient Boosting Regression (GBR) models are widely used and can give
effective results in regression and classification problems. The main value of the approach …

The goal of the paper is to present an experimental evaluation of fuzzy time series models
which are based on ordered fuzzy numbers to predict financial time series. Considering this …

New definition of the fuzzy counterpart of real number is presented. An extra feature, called
the orientation of the membership curve is introduced. It leads to a novel concept of an …

Fuzzy multiple criteria decision-making (FMCDM) methods are techniques of finding the
trade-off option out of all feasible alternatives that are characterized by multiple criteria and …