Optimizing performance of fuzzy decision support system with multiple parameter dependency for cloud provider evaluation

Abstract

In today's world, technological trend offers computing resources as services through the internet in on-demand or pay-as-you-go approach. These services are provided by different cloud service providers. Due to which trust on the any service provider is a choice of any customer. In order to choose a reputed cloud service provider a new method using the concept of fuzzy has proposed in this paper. This method enhanced the customer's satisfaction level of using cloud services by avoiding ambiguities in fuzzy interface system (FIS) through optimization. Proposed fuzzy rule-based decision support system is collaborating with advanced fuzzy system optimized using a swarm intelligent firefly algorithm that facilitates the consumers in selecting right CSP based upon their rating value. It conducts three different reviews of three different components, i.e. customer review, service provider review and public review. Results are carried out on the basis of both simple and the optimized fuzzy, and it is found that the optimized fuzzy surpasses the simple fuzzy logic.

Comparison Analysis of TOPSIS and Fuzzy Logic Methods On Fertilizer Selection

“…Decision Support System applications use flexible, interactive and adaptable CBIS (Computer Based Information Systems) [9], developed to support solutions to specific unstructured management issues. There are many method of DSS, for example: Fuzzy Logic [3], [10], Profile Matching, ANFIS [11], AHP, and there are still many more methods used to be [5], [12]- [14]. The Decision Support System application uses data, provides a natural user interface, and can incorporate decision maker thinking.…”

“…TOPSIS is one of the multi-criteria decision-making methods first introduced by Yoon and Hwang (1981) [5], [20]. TOPSIS uses the principle that the chosen alternative must have the shortest distance from the ideal solution and furthest from the ideal solution from a geometric point of view by using the Euclidean distance to determine the relative proximity of an alternative with the optimal solution [2], [21], process TOPSIS as below: a.…”

“…echnique for Order Preference by Similarity to Ideal Solution (TOPSIS) is based on the concept that the chosen or best alternatives not only have the closest distance from the ideal solution but also have the greatest distance from the ideal solution from a geometric point of view by using the Euclidean distance to determine the relative proximity of an alternative with the optimal solution. The positive ideal solution is defined as the sum of all the best attainable values for each attribute, whereas the negative-ideal solution consists of all the worst values achieved for each attribute [1], [2], while the Fuzzy Logic [3]- [5] is a method that has the ability to process variables that are blurred or that cannot be described in exact to run the assessment process and minimize the constraints of the best fertilizer selection for these fruit plants, it is needed an application of decision support system that can facilitate anyone who wants to cultivate fruit crops, in this case, the guava fruit in determining the best chemical fertilizers that can be used.…”

Decision Support Rating System with Analytical Hierarchy Process Method

“…This system helps support decision making in a person and organization both companies and agencies. Decision support system can provide an alternative solution when a person or group of people is trying in determining appropriate and appropriate decisions, some methods used in DSS such as Fuzzy Logic [16], [19], Profile Matching, ANFIS [20], AHP, and there are still many more methods used to be [21]- [24]. Decision support system is expected to provide information that will provide an alternative solution to the problem that occurred.…”