• Title/Summary/Keyword: Pairwise Comparisons Matrix

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Methods of pairwise comparisons and fuzzy global criterion for multiobjective optimization in structural engineering

  • Shih, C.J.;Yu, K.C.
    • Structural Engineering and Mechanics
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    • v.6 no.1
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    • pp.17-30
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    • 1998
  • The method of pairwise comparison inherently contains information of ambiguity, fuzziness and conflict in design goals for a multiobjective structural design. This paper applies the principle of paired comparison so that the vaguely formulated problem can be modified and a set of numerically acceptable weight would reflect the relatively important degree of multiple objectives. This paper also presents a fuzzy global criterion method ($FGCM_{\lambda}$) included fuzzy constraints that coupled with the objective weighting rank obtained from the modified pairwise comparisons for fuzzy multiobjective optimization problems. Descriptions in sequence of this combined method and problem solving experiences are given in the current article. Multiobjective design examples of truss and mechanical spring structures illustrate this optimization process containing the revising judgement techniques.

AHP 기법을 이용한 교량상부구조의 VE 검토

  • Park, Jang-Ho;Sin, Yeong-Seok;An, Ye-Jun;Lee, Gwang-Gyun
    • Journal of the Korea Construction Safety Engineering Association
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    • s.52
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    • pp.58-66
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    • 2011
  • This study presents an algorithm to select the best alternative plane among various bridge superstructure types (Steel box girder, Rational girder, PSC-I girder) using Value Engineering (VE). Economical efficiency, landscape, constructability, maintenance, stability, function of bridge superstructure were taken into consideration in the designing of bridge. Economical efficiency was evaluated for each alternative plan with optimal design considering Life Cycle Cost (LCC), Repair and rehabilitation histories and some factors were set to get reasonable results. In the application of Analytic Hierarchy Process (AHP), consistency of Pairwise Comparisons Matrix was evaluated and the best plan was determined.

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Examination of Value Engineering for Bridge Superstructures using Analytic Hierarchy Process (AHP 기법을 이용한 교량상부구조의 VE 검토)

  • Park, Jang-Ho;Shin, Yung-Seok;Ahn, Ye-Jun;Lee, Kwang-Kyun
    • Journal of the Korean Society of Safety
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    • v.24 no.6
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    • pp.79-85
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    • 2009
  • This study presents an algorithm to select the best alternative plane among various bridge superstructure types(Steel box girder, Rational girder, PSC-I girder) using Value Engineering(VE). Economical efficiency, landscape, constructability, maintenance, stability, function of bridge superstructure were taken into consideration in the designing of bridge. Economical efficiency was evaluated for each alternative plan with optimal design considering Life Cycle Cost(LCC). Repair and rehabilitation histories and some factors were set to get reasonable results. In the application of Analytic Hierarchy Process(AHP), consistency of Pairwise Comparisons Matrix was evaluated and the best plan was determined.

Parentage Identification of 'Daebong' Grape (Vitis spp.) Using RAPD Analysis

  • Kim, Seung-Heui;Jeong, Jae-Hun;Kim, Seon-Kyu;Paek, Kee-Yoeup
    • Journal of Plant Biotechnology
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    • v.4 no.2
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    • pp.67-70
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    • 2002
  • The RAPD data were used to assess genetic similarity among f grape cultivars. Of the 100 random primers tested on genomic DNA, 10 primers could be selected for Benetic analysis, and the selected primers generated a total of 115 distinct amplification fragments. A similarity matrix was constructed on the basis of the presence or absence of bands. The 7 grape cultivars analyzed with UPGMA were clustered into two groups of A and B. The similarity coefficient value of cultivars was high. The mean similarity index for all pairwise comparisons was 0.851, and ranged from 0.714 ('Rosaki' and 'Black Olympia') to 0.988 ('Kyoho' and 'Daebong'). After due consideration of differences in cultural and morphological characteristics of these two theoretically identical cultivars, it could be deduced that 'Daebong' is a bud sport of 'Kyoho' cultivar.

A Strategy Development of Hydrogen Energy Industrial Infrastructure by Using SWOT/AHP Method (SWOT-AHP 분석을 이용한 수소에너지 산업 인프라 전략 개발)

  • Han, Jang-Hyup;Kim, Su-Ji;Kim, Chae-Bogk
    • Journal of Korea Technology Innovation Society
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    • v.19 no.4
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    • pp.822-847
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    • 2016
  • The sustainable energy has globally become more important to maintain the future industry. Of various new renewable energy types, hydrogen energy had drawn a lot of attention as clean energy. Therefore, this study applied SWOT-AHP analysis to establish a strategy for the infrastructure of hydrogen energy industry. It drew the factors required to establish the infrastructure of hydrogen energy industry based on the literature review and experts' opinions were surveyed to redesign SWOT Matrix. The AHP analysis is performed to obtain the relative importance of developed factors by pairwise comparisons. Based on research results by applying SWOT analysis and AHP, this paper proposes the development of strategic plan for infrastructure of hydrogen energy industry.

Evaluation of Analytic Hierarchy Process Method and Development of a Weight Modified Model (AHP 분석의 문제점과 수정가중치모형의 개발)

  • Choi, Min-Cheol
    • Management & Information Systems Review
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    • v.39 no.2
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    • pp.145-162
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    • 2020
  • This study examines problems with using the conventional analytic hierarchy process (AHP) method and proposes a method of weight adjustment as a modification of AHP. AHP is a method for transforming complex decision problems into a hierarchal structure, which is composed of elements in the upper and lower levels and then using pairwise comparisons to evaluate these elements and subsequently to obtain their relative weights. The elements' relative importance is reliable if the elements in the lower hierarchical levels (sub factors) that comprise each element in the upper hierarchical level (primary factor) are equal in number. In other words, if the number of sub factors is different for each primary factor, a serious error is expected as a result. Therefore, this study proposes a modification of AHP that can avoid such an error when AHP is used. Specifically, an error that arises from different number of sub factors (matrix size) can be overcome by making the number of sub factors identical for each primary factor. The resulting model has been validated through the applications in different AHP hierarchical structures.