This paper presents the following definition which is a natural combination of the definitions for asymptotically equivalent and λ-statistical convergence of fuzzy numbers. The two sequences [X] and [Y] of fuzzy numbers are said to be asymptotically λ-statistical equivalent of multiple L...

In this paper we define some almost convergent sequence spaces of fuzzy numbers by using the A-transforms and we also examine topological properties and some inclusion relations for these new sequence spaces.

The. notion of consensus plays an important role in group decision making, particularly when the collective preference structure is generated by a dynamical aggregation process of the single individual preference structures. In this dynamical process of aggregation each single decision maker...

In this paper, we study the space of almost convergent sequences of fuzzy numbers and show that it is complete metric space. We also introduce and discuss the concept of almost statistical convergence of fuzzy numbers.

Confronted with negative environmental impacts, rising fuel costs and increas-ing congestion, many cities are implementing sustainable mobility measures to improve the flow of passenger and goods. Examples of these measures are use of public transport, cycling, walking, energy efficient...

This paper presents an expert survey-based approach for prioritizing management issues of dangerous goods transportation faced by air-transport-related sectors in Taiwan. A two-stage survey process is used to ask the experts to first identify and then evaluate the management issues. To develop...

The aim of this paper is to create a nexus between postmodern consumer behaviour and fuzzy clustering, and to propose a suitable clustering method to segment postmodern consumers. From a methodological perspective, the main contribution of this paper is related to the use of the fuzzy theory...

На основе комбинации нечетко-множественного и теоретико-вероятностного подходов решена задача совместной оптимизации параметров расписания и графиков...

Grey system theory is one of the methods used to study uncertainty. GRA is part of grey system theory, which is suitable for solving problems with complicated interrelationships between multiple factors and variables. This method has been widely used to solve the uncertainty problems under the...

We consider a discrete-time model for the cash flow of an insurance portfolio/business in which the net losses are random variables, while the return rates are fuzzy numbers. We choose the shape of these fuzzy numbers trapezoidal, Gaussian or lognormal, the last one having a more flexible shape...