) To each classification index subsets transformation. Classification level knowledge, based on the afore mentioned domain is given, where q is better to classification index system. The knowledge was be an odd number so that we can have a middle expressed as production rule with a basic structure level. below: To quantify each indicator in of a certain ad to all categories classified by single in which, A is the production prerequisite, and B indicator is determined. The value of membership is a set of conclusions. Both A and B can generously function can be determined by using expert scoring be expressions composed by text, numbers, and method. So u we can have the single indicator fuzzy logical operators AND, OR, and NOT. matrix . Here in our research, the prerequisite A led by IF The fuzzy weight vector of every indicators of production rule was the classification index of in ,, a ) the corresponding membership function. Before performing the synthesis process, When single indicator was used in classification, generated. Such as the Single Factor in Fig.1, four of (2) its specific indicators were empty, single emotion,

DOI link for ) To each classification index subsets transformation. Classification level knowledge, based on the afore mentioned domain is given, where q is better to classification index system. The knowledge was be an odd number so that we can have a middle expressed as production rule with a basic structure level. below: To quantify each indicator in of a certain ad to all categories classified by single in which, A is the production prerequisite, and B indicator is determined. The value of membership is a set of conclusions. Both A and B can generously function can be determined by using expert scoring be expressions composed by text, numbers, and method. So u we can have the single indicator fuzzy logical operators AND, OR, and NOT. matrix . Here in our research, the prerequisite A led by IF The fuzzy weight vector of every indicators of production rule was the classification index of in ,, a ) the corresponding membership function. Before performing the synthesis process, When single indicator was used in classification, generated. Such as the Single Factor in Fig.1, four of (2) its specific indicators were empty, single emotion,

) To each classification index subsets transformation. Classification level knowledge, based on the afore mentioned domain is given, where q is better to classification index system. The knowledge was be an odd number so that we can have a middle expressed as production rule with a basic structure level. below: To quantify each indicator in of a certain ad to all categories classified by single in which, A is the production prerequisite, and B indicator is determined. The value of membership is a set of conclusions. Both A and B can generously function can be determined by using expert scoring be expressions composed by text, numbers, and method. So u we can have the single indicator fuzzy logical operators AND, OR, and NOT. matrix . Here in our research, the prerequisite A led by IF The fuzzy weight vector of every indicators of production rule was the classification index of in ,, a ) the corresponding membership function. Before performing the synthesis process, When single indicator was used in classification, generated. Such as the Single Factor in Fig.1, four of (2) its specific indicators were empty, single emotion,