This paper presents a method to construct more general fuzzy complex numbers and sets from ordinary fuzzy complex numbers by introduced the ordered sequences of membership functions. It is concluded that multifuzzy complex set is an extension of Buckley fuzzy complex set. Also, two types of multi-fuzzy complex numbers based on the forms z x iy = + and z re = θ are investigated. Multi-Fuzzy Comp...

fuzzy controllers are being used in various control schemes. the aim of this work was adjusting hemodialysis machine parameters utilizing a fuzzy logic controller (flc) so that patient’s hemodynamic condition remains stable during hemodialysis treatment. for this purpose a comprehensive mathematical model of the arterial pressure response during hemodialysis, including hemodynamic, osmotic, and...

We are designing tools to visualize very large sets of phylogenetic trees. Our tools give a three dimesional representation of treespace, with two dimensions representing the clustering of trees under multidimensional scaling, and the third dimension (the “height”) the score of the tree (i.e. parsimony or maximum likelihood score). The user can rotate the resulting distribution to get a sense o...

The title compound, C(5)H(8)Cl(2)O(2), represents a meso isomer crystallizing in a chiral space group with two mol-ecules per asymmetric unit. The mol-ecules form helical associates with a pitch of 6.31 Å along the a axis via O-H⋯O hydrogen bonds. The overall three-dimesional supra-molecular architecture is stabilized by C-Cl⋯O halogen bonding, with a Cl⋯O separation of 3.139 (3) Å and a C-Cl⋯O...

The online knapsack problem is a classic resource allocation in networking and operations research. Its basic version studies how to pack arriving items of different sizes values into capacity-limited knapsack. In this paper, we study general that includes item departures, while also considering multiple knapsacks multi-dimensional sizes. We design threshold-based algorithm prove the can achiev...

Fuzzy clustering methods are conveniently employed in constructing a fuzzy model of a system, but they need to tune some parameters. In this research, FCM is chosen for fuzzy clustering. Parameters such as the number of clusters and the value of fuzzifier significantly influence the extent of generalization of the fuzzy model. These two parameters require tuning to reduce the overfitting in the...

An employee transporting problem is described and a set partitioning model is developed. An investigation of the model leads to a knapsack problem as a surrogate problem. Finding a partition corresponding to the knapsack problem provides a solution to the problem. An exact algorithm is proposed to obtain a partition (subset-vehicle combination) corresponding to the knapsack solution. It require...