The method of grey related analysis to multiple attribute decision making problems with interval numbers

Zhang, Jijun; Wu, Desheng Dash; Olson, David L.

doi:10.1016/j.mcm.2005.03.003

Cited by 221 publications

(109 citation statements)

References 25 publications

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“…Convert the grey total relation matrix (T) into white total relation matrix T. The grey numbers ⊗t ij = t ij , t ij are transformed into white numbers using relations (10), proposed by [85].…”

Section: Modified Grey Dematel Methods For Criteria Weighingmentioning

confidence: 99%

A Hybrid MCDM Approach for Strategic Project Portfolio Selection of Agro By-Products

Debnath¹,

Roy

Kar

et al. 2017

Sustainability

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Due to the increasing size of the population, society faces several challenges for sustainable and adequate agricultural production, quality, distribution, and food safety in the strategic project portfolio selection (SPPS). The initial adaptation of strategic portfolio management of genetically modified (GM) Agro by-products (Ab-Ps) is a huge challenge in terms of processing the agro food product supply-chain practices in an environmentally nonthreatening way. As a solution to the challenges, the socio-economic characteristics for SPPS of GM food purchasing scenarios are studied. Evaluation and selection of the GM agro portfolio management are the dynamic issues due to physical and immaterial criteria involving a hybrid multiple criteria decision making (MCDM) approach, combining modified grey Decision-Making Trial and Evaluation Laboratory (DEMATEL), Multi-Attributive Border Approximation area Comparison (MABAC) and sensitivity analysis. Evaluation criteria are grouped into social, differential and beneficial clusters, and the modified DEMATEL procedure is used to derive the criteria weights. The MABAC method is applied to rank the strategic project portfolios according to the aggregated preferences of decision makers (DMs). The usefulness of the proposed research framework is validated with a case study. The GM by-products are found to be the best portfolio. Moreover, this framework can unify the policies of agro technological improvement, corporate social responsibility (CSR) and agro export promotion.

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Section: Modified Grey Dematel Methods For Criteria Weighingmentioning

confidence: 99%

A Hybrid MCDM Approach for Strategic Project Portfolio Selection of Agro By-Products

Debnath¹,

Roy

Kar

et al. 2017

Sustainability

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“…Even though traditional grey preference based relations do away with human experts, human opinion and expert knowledge can still be factored into the system [9]. For sake of simplicity we describe the traditional grey ethos to preference analysis.…”

Section: Preference Analysismentioning

confidence: 99%

“…Grey systems are ideally suited where the data being used is minimal, grey forecasting can be done with a data sequence as small as four elements [2]. A grey approach can also be adapted to incorporate human expertise [9], making it even more versatile and adaptable to any given situation. This coupled with the fact that grey systems have reduced computational overhead, a grey approach will often be a good first choice [4].…”

Section: Preference Analysismentioning

confidence: 99%

A commentary on some of the intrinsic differences between grey systems and fuzzy systems

Khuman

Yang

John

2014

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Abstract-The aim of this paper is to distinguish between some of the more intrinsic differences that exist between grey system theory (GST) and fuzzy system theory (FST). There are several aspects of both paradigms that are closely related, it is precisely these close relations that will often result in a misunderstanding or misinterpretation. The subtly of the differences in some cases are difficult to perceive, hence why a definitive explanation is needed. This paper discusses the divergences and similarities between the interval-valued fuzzy set and grey set, interval and grey number; for both the standard and the generalised interpretation. A preference based analysis example is also put forward to demonstrate the alternative in perspectives that each approach adopts. It is believed that a better understanding of the differences will ultimately allow for a greater understanding of the ideology and mantras that the concepts themselves are built upon. By proxy, describing the divergences will also put forward the similarities. We believe that by providing an overview of the facets that each approach employs where confusion may arise, a thorough and more detailed explanation is the result. This paper places particular emphasis on grey system theory, describing the more intrinsic differences that sets it apart from the more established paradigm of fuzzy system theory.

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“…If the alternative has the highest grey relational grade between the reference sequence and itself, then the alternative will be the best choice. GRA has been further developed and widely applied in many areas; some representative ones are: Introduction to Grey Systems (Liu & Lin, 1998); Grey System Theory and Applications (Liu et al, 1999); Comparative Studies of using GRA in MADM Problems (Wu , 2002); Incidence Decision Making Models (Dang et al, 2004) ; GRA with Interval Numbers (Zhang et al, 2005); facility layout selection (Kuo et al, 2008); Supplier Selection (Wu, 2009); GRA with Intuitionistic Fuzzy Numbers (Wei, 2010); Energy Performance of Office Buildings (Lee & Lin, 2011); Personnel Selection (Zhang & Liu, 2011); Novel Models by using Visual Angle of Similarity ; Novel Model Based on Grey Number Sequence .…”

Section: Grey Relational Analysis (Gra)mentioning

confidence: 99%

A comprehensive bibliography on effectiveness measurement of manufacturing systems

Goyal¹,

Grover²

2012

ijiec

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Globalization has put fierce competition for manufacturing managers in terms of flexibility, smaller lead times, competitive costs, etc. To attain these capabilities, manufacturing managers are taking heedless decisions for investing in advanced manufacturing technologies, without measuring their actual effectiveness for their organisations. There is a need to measure the effectiveness of manufacturing systems to make better future policies and investment planning. This paper provides a comprehensive bibliography on the techniques and their rationale in the effectiveness measurement of advanced manufacturing systems. The paper cites 265 articles from a variety of published sources. The list contains published research mainly from 1990 to 2012 and a selected published work prior to 1990.

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The method of grey related analysis to multiple attribute decision making problems with interval numbers

Cited by 221 publications

References 25 publications

A Hybrid MCDM Approach for Strategic Project Portfolio Selection of Agro By-Products

A Hybrid MCDM Approach for Strategic Project Portfolio Selection of Agro By-Products

A commentary on some of the intrinsic differences between grey systems and fuzzy systems

A comprehensive bibliography on effectiveness measurement of manufacturing systems

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