In this study, a generalized fuzzy linear programming (GFLP)method is developed for dealing with uncertainties expressed as fuzzy sets. The feasibility of fuzzy solutions of theGFLPproblem is investigated. A stepwise interactive algorithm (SIA) based on the idea of design of experiment is then advanced to solve the GFLP problem. This SIA method was implemented through (i) discretizing membershi...

Despite the importance of role small and medium enterprises (SMEs) in developing growing economies, little is known regarding use management control tools them. In SMEs, a holistic system needs to be modeled enable careful study how each lever (belief systems, boundary interactive diagnostic systems) affects organizational performance SMEs. this article, fuzzy logic approach proposed for decisi...

The aim purpose of this paper is to empirically study the assessment of customer relationship management (CRM) for global shipping carrier-based logistics service providers (GSLPs) in Taiwan. At first, an evaluation framework integrated three methods and with combination of three stages questionnaires is developed. Three methods are threshold and importance analysis (TIA) approach, importance-p...

Nowadays high fuzzy utility based pattern mining is an emerging topic in data mining. It refers to discover all patterns having a high utility meeting a user-specified minimum high utility threshold. It comprises extracting patterns which are highly accessed in mobile web service sequences. Different from the traditional fuzzy approach, high fuzzy utility mining considers not only counts of mob...

in this paper, a novel hybrid method based on learning algorithmof fuzzy neural network and newton-cotesmethods with positive coefficient for the solution of linear fredholm integro-differential equation of the second kindwith fuzzy initial value is presented. here neural network isconsidered as a part of large field called neural computing orsoft computing. we propose alearning algorithm from ...

—This paper describes a framework for animating and controlling articulated bodies in a fluid simulation. We illustrate this approach by simulating an autonomous fish in various situations. Our little animal tries to reach a goal while its movement interacts with the fluid. Several algorithms allow the fish to automatically control its locomotion while taking into account the changing fluid for...

A Fermatean fuzzy set is a more powerful tool to deal with uncertainties in the given information as compared intuitionistic and Pythagorean has energetic applications decision-making. Aggregation operators are very helpful for assessing alternatives decision-making process, their purpose integrate all individual evaluation values into unified form. In this research article, some new aggregatio...