Ahp fuzzy logic pdf

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Fuzzy logic is used to resolve the uncertainty and im- precision contributed by decision-making (Kharat et al. 2016a). Classical Boolean logic is dichotomous in nature which exhibits that certain elements are true or false and an object belongs to a set or it does not. The Boolean logic is defined as follow in Eq. Three decision-making approaches, namely fuzzy logic, AHP and integrated Fuzzy-AHP techniques are used. • Validate potential groundwater maps, such as ROC, AUC and groundwater well performance during field visits. • The FL, AHP and integrated Fuzzy- AHP shows AUC values of 72%, 76% and 78%. • Integrated AHP-Fuzzy is simpler and more accurate, independent of user-based evaluation, due to AHP and Fuzzy Logic is applied to assist a production engineer or production designer in order to make a decision effectively for defining fitting tolerances, an optimized force for fitting assembly based on various conditions such as loading applications. Machined assembly parts are classified into detailed features and stored in the case library. This study combines risk assessment (RA) and fuzzy logic (FL), where: , "Risk assessment is the overall process of risk identification, analysis and evaluation. Identifying risk includes understanding the sources of risk, areas of impact, events and their causes and potential consequences. In this research, site selection is obtained by AHP and fuzzy methods with a gamma value of 0.1-0.9. Finally, the correlation coefficient between the maps generated by AHP and the fuzzy method is then calculated. The highest correlation between AHP and fuzzy map is 0.24752 for the fuzzy map with 0.7 gamma. that AHP could be extended by using fuzzy logic when defining the criteria. A similar technique has been proposed in Ref. 10. However, since no conventional fuzzy set theory (fuzzy logic, theory of fuzzy relation) is in the Boolean frame. 11. it is proposed that consistent fuzzy logic, introduced in Ref. 12, should be used instead. This approach is based on the Interpolative realization of However, Fuzzy logic was shown to be more accurate than AHP. The total surface areas of suitable locations based on AHP and Fuzzy models are 4.4 km2 and 13.35 km2, respectively. This study showed that AHP, Fuzzy logic and GIS can be integrated for waste management decision issues related to site selection to reduce negative effects on the environment and inhabitants. Fuzzy logic method, The thematic layers of Elevation, Slope, Coastline Distance, and MSAVI are classified into five (5) classes. A weighted score of 5 is assigned to the favorable class in each layer, while a weighted score of 1 is attributed to the less favorable class. The paper presents an approach to rank various Cloud-Service providers (CSPs) on the basis of four parameters, namely, Reliability, Performance, Security and Usability, using a combination of Likert scale, Fuzzy logic and Analytic Hierarchy Process (AHP). The CSPs have been ranked using data collected through a survey of cloud computing users. The purpose of this paper is to help provide a DOI: 10.7763/IPEDR. 2014. V75. 23 Product Design through QFD Approach with Hybrid of AHP and Fuzzy Logics Gaganpreet Singh Hundal1 +,