The effect of attribute normalization factors in attribute distance weighted average

Xiong, Gang; Lan, Jiming; Zhang, Haiyan; Ding, Tianhuai

doi:10.3103/s0146411617020031

Cited by 3 publications

(1 citation statement)

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“…Feng et al [16] combined the genetic algorithm and the particle swarm optimization algorithm in the calculation of attribute feature weights. Xiong et al [17] have concluded that the normalization factor directly determines the influence of the corresponding attributes on the filtering result. Ahmadvand and Pishvaee [18] proposed a credibility-based fuzzy common weights data envelopment analysis approach.…”

Section: Requirement Analysis Of Intelligent Product Designmentioning

confidence: 99%

Knowledge Service Technology for Supporting Intelligent Product Design

Wang

Niu

2021

Shock and Vibration

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In this paper, a knowledge service method that supports the intelligent design of products is investigated. The proposed method provides the solutions to computational problems and reasoning and decision-making problems in the field of intelligent design. The requirement analysis of a knowledge-based intelligent design system integrates design knowledge into case-based reasoning activities through scheme analysis, scheme evaluation, and scheme adjustment, thus achieving knowledge-based intelligent reasoning and decision-making. During the similarity matching, a new hybrid similarity measurement method is proposed to calculate the similarity of crisp and fuzzy sets. This method integrates the fuzzy set similarity theory based on the traditional similarity measurement method. A method of attribute level classification is proposed to assign weight coefficients. The attributes are divided into the primary matching and auxiliary matching levels according to the decisiveness of case matching, and the set of weight coefficients is continuously and dynamically updated through case-based reasoning learning. Then, the weighted global similarity measure is used to obtain the set of similar cases from the case database. Finally, a design example of a computer numerical control tool holder product is studied to present the practicability and effectiveness of the proposed method.

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Section: Requirement Analysis Of Intelligent Product Designmentioning

confidence: 99%