Statistical regression analysis is a powerful and reliable method to determine the impact of
one or several independent variable (s) on a dependent variable. It is the most widely used …

Large-scale group decision making (LSGDM) is very common in real world, and especially
how to reach a relatively consensus status in a social network is a hot topic. In this paper, we …

Interval-valued intuitionistic fuzzy sets are widely used in multi-attribute decision-making
problems to select the optimal alternative, but how to measure uncertainty is an open and …

A new approach for ranking fuzzy numbers based on a distance measure is introduced. A
new class of distance measures for interval numbers that takes into account all the points in …

The first comprehensive book to uniquely combine the three fields of systems engineering,
operations/production systems, and multiple criteria decision making/optimization Systems …

Regression analysis is a statistical method employed to establish the relationship between"
independent variables" and" dependent variables." This widely utilized analysis technique is …

Oil consumption plays a vital role in socio-economic development of most countries. This
study presents a flexible fuzzy regression algorithm for forecasting oil consumption based on …

Water quantity and quality are considered to be the main driving forces of the reservoir
operation. Barra Bonita reservoir, located in the southeast region of Brazil, is chosen as the …

One of the deficiencies of previous fuzzy linear regression models is that with the increase of
the magnitudes of independent variables, the spreads of estimated fuzzy dependent …

Upper and lower regression models (dual possibilistic models) are proposed for data
analysis with crisp inputs and interval or fuzzy outputs. Based on the given data, the dual …