Human beings solve problems in different granularity worlds and shift from one granularity
world to another quickly. It reflects human beings' intelligence in problem solving to some …

Interval-valued intuitionistic fuzzy set, generalized by Atanassov and Gargov, can be used to
characterize the uncertain information more sufficiently and accurately when we face the fact …

In the process of decision making, people sometimes may feel more comfortable to express
their preferences by linguistic terms instead of the quantitative form. However, as the basic …

In order to extend the best-worst method (BWM) to uncertain circumstances, in this paper,
we propose an intuitionistic fuzzy multiplicative best-worst method (IFMBWM) with …

Multicriteria decision making (MCDM) in intuitionistic fuzzy environments is a very important
research topic. In this paper, we propose a new MCDM method based on the TOPSIS …

Due to the vast and rapid increase in the size of data, machine learning has become an
increasingly more popular approach for the purpose of knowledge discovery and predictive …

In this paper, we propose a new fuzzy forecasting method based on two-factors second-
order fuzzy-trend logical relationship groups (TSFTLRGs), particle swarm optimization (PSO) …

It is generally believed that the process of supplier selection plays a critical role in the
purchasing management. To improve the performance of a supply chain network, it is …

Atomic recognition of the Exudates (EXs), the major symbol of diabetic retinopathy is
essential for automated retinal images analysis. In this article, we proposed a novel machine …

Remotely sensed high-resolution satellite images contain various information in context of
changes. By analyzing this information very minutely, changes occurred in various …