The Case Study of Adaptive Network-Based Fuzzy Inference System Modeling for TAIEX Prediction

Mosque architectural design is based on Islamic culture as an approach to objects and products from the Islamic community by looking at their suitability and values and basic principles of Islam that explore more creative and innovative ideas. The purpose of this system is to help the team and the community in seeing the best mosque in the top order so that the system can be used as a reference for the team and the community. The variables used in the selection of modern mosques include facilities and infrastructure, building structure, roof structure, mosque area, level of security and facilities. The system model used is a fuzzy promethee model that is used for the modern mosque selection process. Fuzzy inference assessment is used to determine the value of each variable so that the value remains at normal limits. Fuzzy values will then be included in promethee assessment aspects. The highest promethee ranking results will be made a priority for the best mosque ranking. This fuzzy inference system and promethee system can help the management team and the community in determining the selection of modern mosques in aceh in accordance with modern mosque architecture. Intelligent System Modeling System In Determining Modern Mosque Architecture in the City of Aceh, this building will be web based so that all elements of society can see the best mosque in Aceh by being assessed by all elements of modern mosque architecture.Keywords: Fuzzy inference system, Promethe, Option of Masjid

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Virtual fit evaluation of pants using the Adaptive Network Fuzzy Inference System

Textile Research Journal ◽

10.1177/00405175211020515 ◽

2021 ◽

pp. 004051752110205

Author(s):

Xueqing Zhao ◽

Ke Fan ◽

Xin Shi ◽

Kaixuan Liu

Keyword(s):

Fuzzy Inference System ◽

Fuzzy Inference ◽

Test Accuracy ◽

Adaptive Network ◽

Data Set ◽

Inference System ◽

Second Stage ◽

Simulated Environment ◽

Two Stages ◽

Fold Cross Validation

Virtual reality is a technology that allows users to completely interact with a computer-simulated environment, and put on new clothes to check the effect without taking off their clothes. In this paper, a virtual fit evaluation of pants using the Adaptive Network Fuzzy Inference System (ANFIS), VFE-ANFIS for short, is proposed. There are two stages of the VFE-ANFIS: training and evaluation. In the first stage, we trained some key pressure parameters by using the VFE-ANFIS; these key pressure parameters were collected from real try-on and virtual try-on of pants by users. In the second stage, we evaluated the fit by using the trained VFE-ANFIS, in which some key pressure parameters of pants from a new user were determined and we output the evaluation results, fit or unfit. In addition, considering the small number of input samples, we used the 10-fold cross-validation method to divide the data set into a training set and a testing set; the test accuracy of the VFE-ANFIS was 94.69% ± 2.4%, and the experimental results show that our proposed VFE-ANFIS could be applied to the virtual fit evaluation of pants.

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Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia

Environmental Science and Pollution Research ◽

10.1007/s11356-020-11908-4 ◽

2021 ◽

Author(s):

Nor Najwa Irina Mohd Azlan ◽

Marlinda Abdul Malek ◽

Maslina Zolkepli ◽

Jamilah Mohd Salim ◽

Ali Najah Ahmed

Keyword(s):

Fuzzy Inference System ◽

Water Demand ◽

Sustainable Management ◽

Fuzzy Inference ◽

Inference System ◽

System A

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Shared Control of Robot Based on Adaptive Network-based Fuzzy Inference System

2020 Chinese Automation Congress (CAC) ◽

10.1109/cac51589.2020.9327575 ◽

2020 ◽

Author(s):

Lei Xu ◽

Kuangrong Hao ◽

Lei Chen ◽

Xue-Song Tang ◽

Tong Wang ◽

...

Keyword(s):

Fuzzy Inference System ◽

Fuzzy Inference ◽

Shared Control ◽

Adaptive Network ◽

Inference System

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