scholarly journals A Power Customer Data Relational Algorithm Based on Magnanimity Fuzzy Address Matching

2021 ◽  
Vol 9 ◽  
Author(s):  
Peng Jin ◽  
Jing Yang ◽  
Zongwei Wang ◽  
Xiaoyang Bu ◽  
Peng Wu
Keyword(s):  
Information Fusion ◽  
Fusion Method ◽  
Similarity Matching ◽  
Customer Data ◽  
Short Text ◽  
Matching Process ◽  
Digital Fingerprint ◽  
Special Weight ◽  
Digital Fingerprints ◽  
Address Matching

According to the short text and unstructured characteristics of customer address, a data association fusion method for address has been proposed. In this method, the address was mapped to a digital fingerprint by improved Simhash technology, which effectively reduced the dimension of massive addresses and simplified the similarity-matching process of multi-source heterogeneous addresses. Furthermore, the weight setting of the eigenvector of the simhash algorithm was improved by introducing special weight gain. A two-level index mechanism was established by the characteristics of address division and data structure of digital fingerprints; the time-consuming digital fingerprint comparison was greatly reduced. The experimental results showed that calculation efficiency was greatly optimized; accuracy and coverage of the comparison were ensured. Through address matching of different databases, information fusion can be completed and the goal which power customers' demands is connected to power grid equipment is achieved.

Fault Classification of Hydroelectric Generating Unit Based on Improved Evidence Theory

2014 ◽  
Vol 7 (1) ◽  
pp. 78-83 ◽  
Author(s):  
Jiatang Cheng ◽  
Li Ai ◽  
Zhimei Duan ◽  
Yan Xiong
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
Evidence Theory ◽  
Fault Classification ◽  
Fusion Method ◽  
Inconsistent Result ◽  
High Conflict

Aiming at the problem of the conventional vibration fault diagnosis technology with inconsistent result of a hydroelectric generating unit, an information fusion method was proposed based on the improved evidence theory. In this algorithm, the original evidence was amended by the credibility factor, and then the synthesis rule of standard evidence theory was utilized to carry out information fusion. The results show that the proposed method can obtain any definitive conclusion even if there is high conflict evidence in the synthesis evidence process, and may avoid the divergent phenomenon when the consistent evidence is fused, and is suitable for the fault classification of hydroelectric generating unit.

scholarly journals Sistem Pendukung Keputusan Kelayakan Penerimaan Nasabah Menggunakan Metode Profile Matching

2020 ◽  
Vol 5 (1) ◽  
pp. 98
Author(s):  
Anita Ahmad Kasim ◽  
Raziyan Dwi Pathan
Keyword(s):  
Programming Languages ◽  
Small And Medium Enterprises ◽  
Web Based ◽  
Customer Data ◽  
Matching Process ◽  
Customer Acceptance ◽  
Profile Matching ◽  
Long Time ◽  
Small Medium Enterprises ◽  
Medium Enterprises

 Abstract—PT Sarana Sulteng Ventura is one company that aims to provide loan capital is micro, small, and medium enterprises (UMKM) as a venture partner timed short or long to be able to stand on its own with loan capital that fits with the kind of effort that it takes for the customer. In providing venture capital loans, the company has some terms and conditions that apply. and the company still cultivate customer data manually so that it takes quite a long time. Then with this author makes the eligibility decision support system which will facilitate customer acceptance staff employees of PT Sarana Sulteng Ventura to pre-screen customer deserves a loan business capital to client or small medium enterprises. The researchers used a system that is web -based systems using the programming language PHP and MySQL into its data base processing and sublime text 2 as editor of programming languages. This research used the method of profile matching process to perform the calculation of assessments to help give the eligibility decision of acceptance the customer at PT. Sarana Sulteng Ventura city of Palu.

A novel information fusion method based on Dempster-Shafer evidence theory for conflict resolution

2011 ◽  
Vol 15 (3) ◽  
pp. 399-411 ◽  
Author(s):  
Jianping Yang ◽  
Hong-Zhong Huang ◽  
Qiang Miao ◽  
Rui Sun
Keyword(s):  
Conflict Resolution ◽  
Information Fusion ◽  
Evidence Theory ◽  
Fusion Method
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