[PDF] Top 20 Recruitment Process Based on Computing with Words using Interval Type-2 Fuzzy Set HM Approach

... the interval type-2 fuzzification process using the Hao and Mendel algorithm, the data Intervals obtained from the decision makers are the input into this ...Mendel approach for ... See full document

... of fuzzy importance using max-min fuzzy operator and fuzzy ...for computing the importance measure of basic events using variance importance ...though computing ... See full document

... new approach on fuzzy geo-localization is proposed. Based on a linguistic concept, the expert builds an adaptive fuzzy model to the target ...(RSSI) using linguistic fuzzy ... See full document

... risk. Type-1 fuzzy logic by its (essentially) crisp nature is limited in modelling decision making as there is no uncertainty in the membership ...that interval type–2 fuzzy sets ... See full document

... steps using type-2 fuzzy sets. First a type-2 fuzzy face-space is constructed with the background knowledge of facial features of different subjects for different ... See full document

... rules based on the expert understanding. The process consists of two parts: knowledge acquisition and formation of rules and combination of ...following set of rules is obtained. This set of ... See full document

... an Interval Type-2 fuzzy set model: Hao and Mendel Approach (HMA) is proposed to fuzzify breast cancer data in order to handle quantitative attribute sharp boundary problem and ... See full document

... learning approach to the optimisation of membership and non-membership functions of a newly developed interval type-2 intuitionistic fuzzy logic system (IT2 IFLS) of a Takagi- ... See full document

... To achieve high accuracy in detection, the technique should have high precision and recall values. The results for the four scenarios and each test are given in Table 2.We can see that this system never detects ... See full document

... TSG process. For this purpose, an interval type-2 fuzzy logic system (IT2FLS) is presented to predict the size distribution of the granules ...out using the twin screw granulator ... See full document

... (demonstrations 2 and 3) apply the zSlices-based SM to zSlices-based general T2 ...any type of ...Demonstration 2 employs the zSlices-based SM on trapezoidal general T2 FSs that ... See full document

... a process of draining away material due to imbalance in the supply and export of material from the coastal profile (Ministry of Natural Resources and Environment, ...continuing process of erosion due to ... See full document

... applying fuzzy logic method. The study utilizes type-2 fuzzy logic and produced rules from rough set and ...Rough Set produces better model and accuracy for predicting BIRADS ... See full document

... corresponding type-1 fuzzy sets, respectively. Table 2 shows the linguis- tic terms, ”Very Poor” (VP), ”Poor” (P), ”Medium Poor” (MP), ”Fair” (F), ”Medium Good” (MG), ”Good” (G), ”Very Good” (VG) and ... See full document

... In a GPU each SGC trip implies in at least two hours of shutdown until the SGC system can be restarted, which represents a cost of thousands of dollars for the company. This work shows the potentiality, simplicity and ... See full document

... Type A relation depicts a synonymous/antonymous behavior or “of the same kind” nature. Word pairs with paradigmatic relation are highly semantically related and belong to the same part of speech. And hence, they ... See full document

... a type 2 fuzzy data that are valued type 2 hexagonal fuzzy numbers and we have to test the hypothesis about the population ...mean. Using the relation (1) and the proposed ... See full document

... hesitant fuzzy sets, interval type-2 hesitant fuzzy set can reflect uncertainty of inaccurate information by primary and secondary memberships, more efficiently (Onar et ... See full document

... IT2IFLS-TSK approach to prediction is ...each set. In future, we intend to learn the parameters of the IT2IFLS using Gaussian membership function with uncertain mean and also to train IT2IFLS ... See full document

... In this paper, we have defined two new operations over Interval Valued Intuitionistic Fuzzy Sets of Cube Root Type and their relationships are proved. We have studied some desirable properties of the ... See full document