The present work demonstrates the design and simulation of a fuzzy control of an air conditioning system at different pressures. The first order Sugeno fuzzy inference system is utilized to model the system and create the controller. In addition, an estimation of the heat transfer rate and water mass flow rate injection into or withdraw from the air conditioning system is determined by the fuzz...

Data envelopment analysis (DEA) is amathematical programmingapproach for evaluating the relative efficiency of decision making units (DMUs) in organizations. The conventionalDEAmethods require accuratemeasurement of both the inputs and outputs. However, the observed values of the input and output data in real-world problems are often imprecise or vague. Fuzzy set theory is widely used to quanti...

Changing economic conditions make the selling price and demand quantity more and more uncertain in the market. The conventional inventory models determine the selling price and order quantity for a retailer’s maximal profit with exactly known parameters. This paper develops a solution method to derive the fuzzy profit of the inventory model when the demand quantity and unit cost are fuzzy numbe...

A modification of Dempster’s and Pawlak’s constructs forms a new foundation for the identification of upper and lower sets formulas. Also, in this modified Dempster-Pawlak construct we require that subsets of the power set be restricted to the wellknown information granules of the power set. An aggregation of upper information granules amongst each other and lower information granules amongst e...

The main objective of this research work is to construct a Fuzzy Temporal Rule Based Classifier that uses fuzzy rough set and temporal logic in order to mine temporal patterns in medical databases. The lower approximation concepts and fuzzy decision table with the fuzzy features are used to obtain fuzzy decision classes for building the classifier. The goals are pre-processing for feature selec...

This paper is devoted to the task of the maximum flow finding with nonzero lower flow bounds taking into account given vitality degree. Transportation network with the flow is considered in fuzzy conditions due to the fuzzy character of the network’s parameters. Arcs of the network are assigned by the fuzzy arc capacities and nonzero lower flow bounds, vitality parameters and crisp transit time...

The purpose of this paper is to introduce the concept of dominance-based rough set into the incomplete fuzzy decision system. In such information system, all unknown values are considered as lost, the similarity dominance relation is then used to construct information granules. The lower and upper rough fuzzy approximations in terms of the similarity dominance relation are presented, from which...

The subject of the study is hardware design of fuzzy controllers as CMOS analog devices on the base of controller descriptions in the view of multi-valued logical functions. A functional completeness of summing amplifier with saturation in an arbitrary-valued logic is proven that gives a theoretical background for analog implementation of fuzzy devices. Compared with the traditional approach ba...

The solid transportation problem considers the supply, the demand and the conveyance satisfying the transportation requirement in a cost-effective manner. This paper develops a method that is able to derive the fuzzy objective value of the fuzzy solid transportation problem when the cost coefficients, the supply and demand quantities, conveyance capacities are fuzzy numbers and additional const...

In this paper, a different approach to extract the threshold value β of Variable Precision Rough Set (VPRS) applied to continuous information systems is presented. This study combines the Fuzzy Set and Rough Fuzzy Set (RFS) theories to determine the β value of VPRS. The β value was determined by the Fuzzy C-means and relevant Fuzzy theories, for the reason that errors of system classification c...