Efficiency Measure by Fuzzy Data Envelopment Analysis ModelAgarwal, Shivi
2014 Fuzzy Information and Engineering
doi: 10.1016/j.fiae.2014.06.005
AbstractData envelopment analysis (DEA) is a non-parametric technique to measure the relative efficiencies of a set of decision making units (DMUs) with common crisp inputs and outputs. Input and output data of DMUs often fluctuate. These fluctuating data can be represented as linguistic variable characterized by fuzzy numbers. This paper attempts to extend the traditional DEA model to a fuzzy framework, thus proposing a fuzzy DEA model based on -cut approach to deal with the efficiency measuring and ranking problem with the given fuzzy input and output data. Finally, a numerical example is presented to illustrate the fuzzy DEA model. Since the efficiency measures are expressed by membership functions rather than by crisp values, more information is provided for management. By extending to fuzzy environment, the DEA approach is made more powerful for application.
Fuzzy Perfect Mappings and Q-Compactness in Smooth Fuzzy Topological SpacesKalaivani, C.; Roopkumar, R.
2014 Fuzzy Information and Engineering
doi: 10.1016/j.fiae.2014.06.009
AbstractWe point out that the product of two fuzzy closed sets of smooth fuzzy topological spaces need not be fuzzy closed with respect to the the existing notion of product smooth fuzzy topology. To get this property, we introduce a new suitable product smooth fuzzy topology. We investigate whether and are weakly smooth fuzzy continuity whenever , , and are weakly smooth fuzzy continuous. Using this new product smooth fuzzy topology, we define smooth fuzzy perfect mapping and prove that composition of two smooth fuzzy perfect mappings is smooth fuzzy perfect under some additional conditions. We also introduce two new notions of compactness called -compactness and --compactness; and discuss the compactness of the image of a -compact set (--compact set) under a weakly smooth fuzzy continuous function (-weakly smooth fuzzy continuous function).