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Estimation of Alternative Wall Insulating Solutions Using the Method of Technological Network Model "Cutting Out" Junctions/Sienų šiltinimo alternatyvių sprendimų įvertinimas, taikant technologinio tinklinio modelio mazgų "išpjovimo" metodą

Author(s):
Medium: journal article
Language(s): Latvian
Published in: Journal of Civil Engineering and Management, , n. 2, v. 4
Page(s): 161-170
DOI: 10.3846/13921525.1998.10531397
Abstract:

The article investigates the problem of the dwelling house wall insulation of many-variant decisions estimation. At present multi-criteria evaluation methods are used. They provide the formal algorithm of the final effective selection of solution. However, during the optimisation of the decisions it is expedient to analyse the efficiency of intermediate decisions and those influencing the final findings. With that end in view the author suggests the multi- criteria problem of the evaluations of the variant decision using the method or technological network model of “cutting out” junctions. The main points of this method are: To cut out a comparable variant junction. Comparable variant junction is such a junction that contains at least two technological process variants. To determine comparable partial processes to the junction. To carry out a multi-criteria evaluation. To eliminate non-rational variants from further calculations. To pick out the most effective decision for the junction. From such decisions the complex process variants of wall insulation are made and multi-criteria evaluation is repeated. This method increases the abilities to raise the number of the partial alternative decisions for establishing the effectiveness ot the intermediate decisions, to receive and verify quickly final results of the decision evaluation and to decrease the amount of the calculations. “Cutting out” junction method can be used for estimating the decisions of building thermal renovation at the designing stage.

Copyright: © 1998 The Author(s). Published by VGTU Press.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10363835
  • Published on:
    12/08/2019
  • Last updated on:
    29/05/2022
 
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