Application of Fuzzy Analytic Hierarchy Process to Building Research Teams

Dąbrowski, Karol; Skrzypek, Katarzyna

doi:10.2478/mspe-01-01-2016

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…The bottom layer is the alternative when making the decision. For the two adjacent layers, the upper layer is also called the target layer, and the bottom layer is the factor layer [21,22], and Figure 2 shows its model. Constructing a hierarchical structure is mainly done in order to divide the goals of decisionmaking, the factors to be considered, and the objects of decision-making into the highest level, middle level, and bottom level according to their mutual relationship [19,20].…”

Section: Analytic Hierarchy Processmentioning

confidence: 99%

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The Impact of Core Technological Capabilities of High-Tech Industry on Sustainable Competitive Advantage

et al. 2020

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The market competitiveness and sustainable operation of an enterprise are closely correlated with the support of high-tech core technologies in the enterprise. This study first discusses the basic knowledge of core competitiveness, introduces the components and evaluation methods of core competitiveness, and builds an evaluation index system for core competitiveness of high-tech enterprises. Then, the Analytic Hierarchy Process (AHP) is fully discussed, during which the steps, advantages, and disadvantages of the AHP evaluation method are introduced. Finally, the Fujian Province of China is taken as an example, the relevant data are collected and processed, the impact of indicators are analyzed, and a high-tech industry core technological capability analysis indicator system is built based on the AHP method. Thus, the influence of the core technological capabilities of the high-tech industry on the sustainable competitive advantage of the enterprise is obtained. This study puts forward suggestions for maintaining the competitiveness of high-tech industries, thereby improving the competitive advantage of enterprises and achieving the sustainable management of enterprises. The result finds that if the high-tech industries continue to carry out innovation and scientific research, enterprises will maintain their competitive advantages. In summary, exploring the impact of the core technological capabilities of high-tech industries on the sustainable competitive advantages of enterprises is greatly significant for improving their competitiveness and industrial status, which enables them to be invincible in a complex environment.

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Section: Analytic Hierarchy Processmentioning

confidence: 99%

Section: Analytic Hierarchy Processmentioning

confidence: 99%

The Impact of Core Technological Capabilities of High-Tech Industry on Sustainable Competitive Advantage

et al. 2020

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show abstract

“…FAHP was found to be widely used in the application of building research teams (Dąbrowski and Skrzypek, 2016). The main concern of other is dealing with inconsistences related with arising with the expert opinions, what is the main reason for the implementation of the AHP.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-criteria decision analysis for simplified evaluation of clean energy technologies

Kluczek

2019

Production Engineering Archives

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Technology assessment (TA) is not a new concept. High value energy technology identification needs to be followed by a decision process in which all shareholders contribute. A case study on Combined and Heat Power (CHP) technologies considered is presented to illustrate the applicability of fuzzy analytical hierarchy assessment approach (FAHP). The goal of this paper is to identify and evaluate the best variant of CHP technologies using multi-criteria that are technical feasibly and cost effective reflecting performance parameters. The results depict that technology A2 with an overall ranking of 0.438 is the best alternative compared to others. Taking into consideration decision parameters for the section, A1 is found to be relatively most important with a rating of 0.434 with its reliability and cost effectiveness. The presented fuzzy-based methodology is general expected to be used by a diverse target groups in energy sectors.

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Multi-criterial analysis of oversize cargo transport through the city, using the AHP method

Wolnowska

Konicki

2019

Transportation Research Procedia

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Application of Fuzzy Analytic Hierarchy Process to Building Research Teams

Cited by 3 publications

References 3 publications

The Impact of Core Technological Capabilities of High-Tech Industry on Sustainable Competitive Advantage

The Impact of Core Technological Capabilities of High-Tech Industry on Sustainable Competitive Advantage

Multi-criteria decision analysis for simplified evaluation of clean energy technologies

Multi-criterial analysis of oversize cargo transport through the city, using the AHP method

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