复杂系统层次—情境型群组DEMATEL因素分析方法

doi:10.16381/j.cnki.issn1003-207x.2023.1784

Abstract

Abstract:

The group decision-making trial and evaluation laboratory （DEMATEL） is a commonly used method of factor analysis in complex systems， which can reveal causal relationship among the factors. In recent years， the group DEMATEL has been widely used in various fields. As a DEMATEL expansion method of how to solve complex hierarchical structure problems， hierarchical group DEMATEL has attracted the attention of some experts and scholars. However， existing hierarchical group DEMATEL methods still have the following deficiencies such the inherent “method-structure” mismatching， logical confusion and fragmentation of the correlation among the different levels of factors， as well as the expert judgments being difficult. To overcome the above-mentioned drawbacks， a group DEMATEL factor analysis method with hierarchy-situation type for complex systems is suggested in this paper. In the method， a new analytical structure is first proposed by devising the state situations of the system factors and adding multiple alternative situations. Then， the factor knowledge reasoning mechanism from a holistic perspective is given based on polychromatic set theory. Next， the corresponding method implementation steps are given in detail. Finally， a case study on the identification of risk factors affecting oil and gas leakage from offshore platforms is shown to illustrate the proposed method and verify the feasibility and validity of the proposed method. The result shows that the method is scientific and reasonable and can be well applied to solve the issue of analysis of complex system factors. It should be noted that this suggested method not only clarifies the action mechanism of group DEMATEL complex factors reflecting well hierarchical structure characteristics from both vertical and horizontal dimensions， but also can realize the varying weight analysis of the system factors.

Key words: complex systems, group decision-making trial and evaluation laboratory（DEMATEL）, hierarchy-situation type, factor analysis

CLC Number:

Yonghe Sun,Zihang Huang,Bin Miao, et al. Group DEMATEL Factor Analysis Method with Hierarchy-situation Type for Complex Systems[J]. Chinese Journal of Management Science, 2026, 34(4): 89-99.

Figures/Tables 8

因素	$H 13$	$H 23$	$H 33$	$H 43$	⋯	$H 323$	$H 333$	$H 343$	$H 353$
$H 13$	0	2	1	2	⋯	1	1	3	1
$H 23$	2	0	2	2	⋯	2	2	2	2
$H 33$	0	2	0	2	⋯	0	2	2	2
$H 43$	2	1	1	0	⋯	0	2	2	2
⋮	⋮	⋮	⋮	⋮	⋱	⋮	⋮	⋮	⋮
$H 323$	0	2	2	1	⋯	0	1	1	1
$H 333$	2	1	2	2	⋯	1	0	2	1
$H 343$	2	0	1	0	⋯	1	2	0	1
$H 353$	2	0	1	2	⋯	1	2	2	0

因素	$H 13$	$H 23$	$H 33$	$H 43$	⋯	$H 323$	$H 333$	$H 343$	$H 353$
$H 13$	0.080	0.086	0.084	0.106	⋯	0.047	0.091	0.124	0.070
$H 23$	0.134	0.071	0.123	0.128	⋯	0.088	0.145	0.132	0.120
$H 33$	0.069	0.078	0.061	0.094	⋯	0.039	0.109	0.098	0.092
$H 43$	0.107	0.054	0.067	0.071	⋯	0.043	0.115	0.105	0.096
⋮	⋮	⋮	⋮	⋮	⋱	⋮	⋮	⋮	⋮
$H 323$	0.094	0.097	0.116	0.104	⋯	0.053	0.121	0.106	0.096
$H 333$	0.123	0.080	0.115	0.117	⋯	0.065	0.104	0.120	0.097
$H 343$	0.111	0.056	0.087	0.074	⋯	0.061	0.120	0.076	0.087
$H 353$	0.114	0.058	0.090	0.108	⋯	0.060	0.125	0.110	0.072

参数	$H 13$	$H 23$	$H 33$	$H 43$	⋯	$H 323$	$H 333$	$H 343$	$H 353$
$ω + ξ$	7.233	6.886	6.374	6.812	⋯	6.006	8.244	7.091	6.838
$ω - ξ$	-0.809	1.264	-0.870	-0.754	⋯	1.455	-0.829	-0.699	-0.179

References 24

[1]	Hua Z， Jing X， Martínez L. An ELICIT information-based ORESTE method for failure mode and effect analysis considering risk correlation with GRA-DEMATEL［J］. Information Fusion， 2023， 93： 396-411.
[2]	Sun H， Mao W， Dang Y， et al. Optimum path for overcoming barriers of green construction supply chain management： A grey possibility DEMATEL-NK approach［J］.Computers & Industrial Engineering，2022，164： 107833.
[3]	韩玮，孙永河，缪彬. 不完备判断信息情境下群组DEMATEL决策方法［J］. 中国管理科学， 2021， 29（5）： 231-239.
	Han W， Sun Y H， Miao B. A group DEMATEL decision-making method with incomplete judgment information［J］. Chinese Journal of Management Science， 2021， 29（5）： 231-239.
[4]	王伟明，徐海燕，朱建军，等. 基于CWPHM算子和C-DEMATEL的语言型多属性决策方法［J］. 中国管理科学， 2023， DOI：10.16381/j.cnki.issn1003-207x.2023.0903 .
	Wang W M， Xu H Y， Zhu J J， et al. A novel linguistic multiple attribute decision making method based on CWPHM operator and C-DEMATEL［J］. Chinese Journal of Management Science，2023，DOI：10.16381/j.cnki.issn1003-207x.2023.0903 .
[5]	Su C M， Horng D J， Tseng M L， et al. Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach［J］. Journal of Cleaner Production， 2016， 134： 469-481.
[6]	Giri B C， Molla M U， Biswas P. Pythagorean fuzzy DEMATEL method for supplier selection in sustainable supply chain management［J］. Expert Systems with Applications， 2022， 193： 116396.
[7]	Meng X， Chen G， Zhu G， et al. Dynamic quantitative risk assessment of accidents induced by leakage on offshore platforms using DEMATEL-BN［J］. International Journal of Naval Architecture and Ocean Engineering， 2019， 11（1）： 22-32.
[8]	Yadegaridehkordi E， Hourmand M， Nilashi M， et al. Influence of big data adoption on manufacturing companies' performance： An integrated DEMATEL-ANFIS approach［J］. Technological Forecasting and Social Change， 2018， 137： 199-210.
[9]	Zhang X， Su J. A combined fuzzy DEMATEL and TOPSIS approach for estimating participants in knowledge-intensive crowdsourcing［J］. Computers & Industrial Engineering， 2019， 137： 106085.
[10]	Song W， Zhu Y， Zhao Q. Analyzing barriers for adopting sustainable online consumption： A rough hierarchical DEMATEL method［J］. Computers & Industrial Engineering， 2020， 140： 106279.
[11]	Jain V， Qureshi H. Modelling the factors affecting Quality of Life among Indian police officers： A novel ISM and DEMATEL approach［J］. Safety and Health at Work， 2022， 13（4）： 456-468.
[12]	Du Y W， Li X X. Hierarchical DEMATEL method for complex systems［J］. Expert Systems with Applications， 2021， 167： 113871.
[13]	Du Y W， Shen X L. Group hierarchical DEMATEL method for reaching consensus［J］. Computers & Industrial Engineering， 2023， 175： 108842.
[14]	王东浩. 比较逻辑研究［D］. 贵阳：贵州大学， 2010.
	Wang D H. Comparative logic research［D］. Guiyang： Guizhou University， 2010.
[15]	王雪萍，高新勤. 复杂层次模型中知识表达与推理方法研究［J］.系统工程理论与实践，2019，39（11）： 2918-2927.
	Wang X P， Gao X Q. Knowledge representation and reasoning method in complex hierarchy model［J］. Systems Engineering-Theory & Practice， 2019， 39（11）： 2918-2927.
[16]	Kotireddy R， Hoes P J， Hensen J L M. A methodology for performance robustness assessment of low-energy buildings using scenario analysis［J］. Applied Energy， 2018， 212： 428-442.
[17]	李春好，孙永河，贾艳辉，等. 变权层次分析法［J］. 系统工程理论与实践， 2010， 30（4）： 723-731.
	Li C H， Sun Y H， Jia Y H， et al. Variable weight analytic hierarchy process［J］. Systems Engineering--Theory & Practice， 2010， 30（4）： 723-731.
[18]	Badiru A B， Simin Pulat P， Kang M. DDM： Decision support system for hierarchical dynamic decision making［J］. Decision Support Systems， 1993， 10（1）： 1-18.
[19]	Li Z， Xu L D. Polychromatic sets and its application in simulating complex objects and systems［J］. Computers & Operations Research， 2003， 30（6）： 851-860.
[20]	Zhang X， Zhang S， Zhang L， et al. Reverse design for remanufacture based on failure feedback and polychromatic sets［J］. Journal of Cleaner Production， 2021， 295： 126355.
[21]	许国志.系统科学［M］.上海：上海科技教育出版社， 2000.
	Xu G Z. Systems science［M］. Shanghai： Shanghai Scientific & Technological Education Publishing House， 2000.
[22]	李春好，孙永河. ANP内部循环依存递阶系统的方案排序新方法［J］.管理科学学报，2008， 11（6）： 25-34.
	Li C H， Sun Y H. New ranking approach to alternatives of ANP system with inner circular dependence［J］. Journal of Management Sciences in China， 2008， 11（6）： 25-34.
[23]	Kowalska-Pyzalska A， Michalski R， Kott M， et al. Consumer preferences towards alternative fuel vehicles. Results from the conjoint analysis［J］. Renewable and Sustainable Energy Reviews， 2022， 155： 111776.
[24]	Block J， Fisch C， Vismara S， et al. Private equity investment criteria： An experimental conjoint analysis of venture capital， business angels， and family offices［J］. Journal of Corporate Finance， 2019， 58： 329-352.

对比项目	传统群组DEMATEL方法	文献[7]方法	本文所提方法
层次结构	×	√	√
方案情境引入	×	×	√
因素状态划分	×	×	√
系统整体性因素分析	×	×	√
层次因素递推	×	×	√

Group DEMATEL Factor Analysis Method with Hierarchy-situation Type for Complex Systems

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