Grey clustering evaluation based on AHP and interval grey number

Chen, Kejia; Chen, Ping; Yang, Lixi; Lian, Jiamei

doi:10.1108/ijicc-04-2018-0045

Cited by 15 publications

(7 citation statements)

References 22 publications

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“…It provides new idea and method for scientific evaluation of copyright protection in the cloud computing environment and has certain practical value. In the future, we will take the AHP with the evaluation of copyright protection into other fuzzy environment [37][38][39][40][41][42][43][44][45][46][47][48][49][50][51].…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Cloud Computing Copyright Protection Based on AHP

Peng

2020

Mathematical Problems in Engineering

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To increase the protection level of copyright in cloud computing environment, aiming at the problems that the indicators in the copyright protection evaluation system are difficult to accurately define and cannot be quantified, a comprehensive evaluation model of copyright protection based on the combination of analytic hierarchy process and fuzzy comprehensive evaluation is proposed. First, using the analytic hierarchy process (AHP), the copyright protection evaluation system is constructed and the weight of each evaluation index is determined through the judgment matrix. Then the quantitative evaluation result is fuzzy operated through index weight and evaluated data. Finally, the simulation evaluation results on specific example show that this model is reasonable and effective, and it can provide the evaluation basis and practical reference for copyright protection evaluation in cloud computing environment.

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Section: Discussionmentioning

confidence: 99%

Evaluation of Cloud Computing Copyright Protection Based on AHP

Peng

2020

Mathematical Problems in Engineering

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“…Li et al (2020) presented a novel approach to emergency risk assessment using failure mode and effects analysis (FMEA) with extended MULTIMOORA method under interval-valued Pythagorean fuzzy environment. Chen et al (2019) developed a grey clustering evaluation based on AHP and interval grey number. Wang et al (2019) proposed an MCDM approach based on improved cosine similarity measure with interval neutrosophic sets.…”

Section: Literature Reviewmentioning

confidence: 99%

A comparison study of fuzzy-based multiple-criteria decision-making methods to evaluating green concept alternatives in a new product development environment

Ayağ

2021

IJICC

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PurposeIn this paper, the four popular multiple-criteria decision-making (MCDM) methods in fuzzy environment are utilized to reflect the vagueness and uncertainty on the judgments of decision-makers (DMs), because the crisp pairwise comparison in these conventional MCDM methods seems to be insufficient and imprecise to capture the right judgments of DMs. Of these methods, as Fuzzy analytic hierarchy process (F-AHP) is used to calculate criteria weights, the other methods; Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS), Fuzzy Grey relational analysis (F-GRA) and Fuzzy Preference Ranking Organization METhod for Enrichment of Evaluations (F- PROMETHEE II) are used to rank alternatives in the three different ways for a comparative study.Design/methodology/approachThe demand for green products has dramatically increased because the importance and public awareness of the preservation of natural environment was taken into consideration much more in the last two decades. As a result of this, especially manufacturing companies have been forced to design more green products, resulting in a problem of how they incorporate environmental issues into their design and evaluate concept options. The need for the practical decision-making tools to address this problem is rapidly evolving since the problem turns into an MCDM problem in the presence of a set of green concept alternatives and criteria.FindingsThe incorporation of fuzzy set theory into these methods is discussed on a real-life case study, and a comparative analysis is done by using its numerical results in which the three fuzzy-based methods reveal the same outcomes (or rankings), while F-GRA requires less computational steps. Moreover, more detailed analyses on the numerical results of the case study are completed on the normalization methods, distance metrics, aggregation functions, defuzzification methods and other issues.Research limitations/implicationsThe designing and manufacturing environmental-friendly products in a product design process has been a vital issue for many companies which take care of reflecting environmental issues into their product design and meeting standards of recent green guidelines. These companies have utilized these guidelines by following special procedures at the design phase. Along the design process consisting of various steps, the environmental issues have been considered an important factor in the end-of-life of products since it can reduce the impact on the nature. In the stage of developing a new product with the aim of environmental-friendly design, the green thinking should be incorporated as early as possible in the process.Practical implicationsThe case study was inspired from the previous work of the author, which was realized in a hot runner systems manufacturer, used in injection molding systems in a Canada. In a new product development process, the back- and front-ends of development efforts mainly determine the following criteria: cost, risk, quality and green used in this paper. The case study showed that the three fuzzy MCDM methods come to the same ranking outcomes. F-GRA has a better time complexity compared to the other two methods and uses a smaller number of computational steps. Moreover, a comparative analysis of the three F-MCDM methods; F-PROMETHEE II, F-TOPSIS and F-GRA used in ranking for green concept alternatives using the numerical results of the case study. For the case study; as seen in table 20, the three F-MCDM methods produced the numerical results on the rankings of the green concept alternatives as follows; {Concept A-Concept C–Concept B–Concept D}.Social implicationsInclusion of environmental-related criteria into concept selection problem has been gaining increasing importance in the last decade. Therefore, to facilitate necessary calculations in applying each method especially with its fuzzy extension, it can be developed a knowledge-based (KB) or an expert system (ES) to help the DMs make the required calculations of each method, and interpret its results with detailed analysis.Originality/valueThe objective of the research was to propose a F-AHP based F-MCDM approach to green concept selection problem through F-PROMETHEE II, F-TOPSIS and F-GRA methods. As the F-AHP is used to weight evaluation criteria, the other methods are respectively used for ranking the concept alternatives and determine the best concept alternative.

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“…Qian, Liu, and Fang (2018) combined the general grey numbers with regret theory and EDAS (evaluation based on distance from average solution) method to solve the selection problem of new product investment for companies. K. Chen, P. Chen, Yang, and Jin (2019) integrated interval grey numbers with AHP to construct a grey clustering evaluation model for evaluating the flight safety of the airline. Chalekaee, Turskis, Khanzadi, Ghodrati Amiri, and Keršulienė (2019) advanced a hybrid MCDM method which integrates grey numbers with the SWARA (Stepwise Weight Assessment Ratio Analysis), TOPSIS, ARAS (Additive Ratio Assessment) and Geometric Mean techniques to improve the problem-solving model.…”

Section: Study Backgroundmentioning

confidence: 99%

A Grey Combined Compromise Solution (Cocoso-G) Method for Supplier Selection in Construction Management

Yazdani

Wen

Liao

et al. 2019

Journal of Civil Engineering and Management

140

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This study investigates an extended version of the combined compromise solution method with grey numbers, named CoCoSo-G for short, to measure the performance of suppliers in a construction company in Madrid. Seven criteria from a relevant previous study are the basis for assessing the performance of suppliers, while ten suppliers are composing our decision matrix. To initiate the decision-making process, we invite experts to aid us in the qualitative evaluation of the suppliers using grey interval values. Two weighting methods, including the DEMATEL (Decision Making Trial and Evaluation Laboratory) and BWM (best worst method) are used to achieve the importance of supplier criteria in a combined manner. The DEMATEL method is used to realise the best and worst criteria, and the BWM is used to sort the criteria according to a linear programming formulation. The CoCoSo-G method used to release the score of each supplier and rank them. We compare the results obtained by the CoCoSo-G with those obtained by the Complex Proportional Assessment method. It is evident that offering grey values for supplier qualification, using the combined weighting tool and proposing the new CoCoSo-G approach facilitate the evaluation process while indicating trustable outcomes.

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Grey clustering evaluation based on AHP and interval grey number

Cited by 15 publications

References 22 publications

Evaluation of Cloud Computing Copyright Protection Based on AHP

Evaluation of Cloud Computing Copyright Protection Based on AHP

A comparison study of fuzzy-based multiple-criteria decision-making methods to evaluating green concept alternatives in a new product development environment

A Grey Combined Compromise Solution (Cocoso-G) Method for Supplier Selection in Construction Management

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