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Assessment of Similarity of Elements as a Basis for Production Costs Estimation

  • Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

The paper presents the method of fast production cost estimation based on similarities of elements. In order to describe elements, the shape and characteristic features of elements are encoded into a semantic network. Elements are decomposed into functional surfaces, which are characterised by structural and technological features. Similarities between elements are assessed by comparing element’s semantic nets. It is assumed that elements with a high similarity factor also have similar production costs. Results are presented on the example of shafts, numerous runs of c&t similarities assessment at various settings of the weights of the network branches were carried out in order to obtain convergence of the results of assessing similarity using semantic networks with similarities in the actual production costs, calculated by standard methods.

Original languageEnglish
Title of host publication14th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2019, Proceedings
EditorsHéctor Quintián, José António Sáez Muñoz, Emilio Corchado, Francisco Martínez Álvarez, Alicia Troncoso Lora
PublisherSpringer Verlag
Pages386-395
Number of pages10
ISBN (Print)9783030200541
DOIs
Publication statusPublished - 2020
Event14th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2019 - Seville, Spain
Duration: 13 May 201915 May 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume950
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference14th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2019
Country/TerritorySpain
CitySeville
Period13/05/1915/05/19

Keywords

  • Cost estimation
  • Functional surfaces
  • Semantic net
  • Similarity

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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