Information gene Measurement Model of B2B online payment evolutionary system

Information gene Measurement Model of B2B online payment evolutionary system

Abstract: In view of the limitations of the existing B2B online payment system and the lack of effective cooperative operation mechanism, based on the sequence Parameter principle of the coroutine theory,

The discovery of participant information genes is a micro-order parameter that determines the macroscopic order of the B2B online payment evolutionary system, and two-dimensional model of "Identity feature value + credibility" is constructed.

This paper discusses the collaborative evolution of B2B online payment systems based on the genetic model of participant information and the algorithm of order measurement.

As an important associated e-commerce industry, B2B online payment is a key link for realizing the integration and collaboration of e-commerce business flow, capital flow, and logistics.

Domestic and foreign scholars have studied the identity feature model and credibility model. Clark proposed that there are three main methods for identity recognition:

Recognition Based on knowledge or information, credential-based recognition, and physical object recognition

[1], sometimes the combination of multiple identification methods is required for identity recognition. Lopucki extends Clark's theory and proposes that identity recognition is a feature value matching process,

The feature value must be recognized by both parties.

[2]. The feature value may be name, ID number, password, appearance, and fingerprint. Zacharia proposed the adoption of the sporas reputation model in a multi-subject system,

The damping function is designed to slow down the increase of the credibility of the subject with excellent reputation.

[3] In the regret model proposed by sabater, the evaluation database IDB is established, and the function Tau is defined to represent the aspects of a subject to B in the multi-subject system in the T-moment targeting of Phi.

Objective Evaluation of contribution o w, W ε [-], and establishment of independent Credibility Model and integrated Credibility Model

[4] A Fuzzy Set of afras credibility proposed by CARB, introducing weighting factors to identify the contribution of the previous credibility and the satisfaction rating obtained by this evaluation to the system,

The recursive weight function P I is designed to determine the weight of the last reputation in this evaluation based on the similarity between the credibility of the previous evaluation and the satisfaction of the evaluation.

[5] The B2B online payment system is a complex nonlinear system that collaboratively evolves. Based on the sequence Parameter principle of the coroutine theory,

Discovering participant information genes is the microscopic order parameter that determines the macroscopic order of the B2B online payment evolutionary system,

The author focuses on how to build a genetic model for participant information and an algorithm for measuring the degree of order based on two-dimensional attributes of "Identity feature value + credit,

Based on the participant information gene, the role of the B2B online payment evolutionary system coordination is analyzed.

Information gene Measurement Model of B2B online payment evolutionary system