Risk-Based Evaluation of Turkish Agricultural Strategies using Fuzzy AHP and Fuzzy ANP

The South Yanchuan block is the deepest developed high-rank coalbed methane (CBM) field in China, the geological conditions in this block are complex and the main controlling factors of CBM content are various. Thus, a decision-making model of the potential of deep high-rank coalbed methane resource based on geographical information system (GIS) and weighted linear combination (WLC) is established, the influence of geological conditions on CBM content is analyzed, the favorable areas of CBM potential are divided. Results show that the buried depth, coal rank and hydrodynamic condition in the coal seam are dominant factors that control the gas content on a block scale, while the gas content has a weak correlation with maceral composition, coal thickness and the effective thickness of the overlying strata. The study area is divided into five units according to the natural breaks method, i.e., the extramely favourable area, the favourable area, the relatively favourable area, the normally favourable area and the unfavourable area, which account for 14.23%, 22.23%, 24.77%, 25.08% and 13.70% in area, respectively. The extramely favourable area is located in the northwestern of the South Yanchuan block, which is considered to be the key exploration and development area. The study will deepen the understanding of the control of CBM potential in south Yanchuan Block, and is of practical significance for CBM recovery in this area.

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“…If CR < 0.10, this denotes that weights can be used. The comparison in the AHP needs to be revised when the CR ≥ 0.10 (Demirel et al, 2012).…”

Section: Methodsmentioning

confidence: 99%

Evaluation of deep high-rank coal seam gas content and favorable area division based on GIS: A case study of the South Yanchuan block in Ordos Basin

Cao

Cui³

et al. 2022

Energy Exploration & Exploitation

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“…The steps of Chang's (1996) extent analysis approach are used in this paper like Demirel et al's [20] study.…”

Section: The First Solution With Fuzzy Ahpmentioning

confidence: 99%

“…In this paper, fuzzy ANP method is used for producer's selection problem with making the network structure of criterion. The steps fuzzy ANP methodology is used in this paper like Demirel et al's [20] study' steps likes again Chang's extend analysis method.…”

Section: The Second Solution With Fuzzy Anpmentioning

confidence: 99%

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Gıda sektöründe hizmet veren özel üretici firma seçiminde üçgensel sayılar ile üç tekniğin kullanılması: Türkiye'den bir örnek

Yücenur¹

2017

Beykent Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi

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Cacao is a very valuable crop as cash. Because cacao is an important exportation crop for countries where it is produced and it is a critical importation product for countries which cannot produce cacao because of their unsuitable climate conditions but consuming it. We suggested a model for choosing the appropriate cacao producer for our chocolate firm in Turkey by applying multicriteria decision making (MCDM) methods: Analytic hierarchy process (AHP), Analytic network process (ANP) and VIKOR based on linguistic variables under fuzzy environment in this paper. All three methods are suggested to be used in our proposed hierarchical model. Firstly, fuzzy AHP methodology is used for analyzing the 4 main criterions and 14 sub-criterions; secondly fuzzy ANP methodology is applied for representing the interrelationships among these main criterions and the last methodology, VIKOR, is used to find out a compromise solution. The proposed model is explained by illustrative example, all comparisons and evaluations are made with triangular numbers with fuzzy sets and final results of fuzzy AHP, fuzzy ANP and VIKOR are tested for comparability.

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“…Yücenur et al applied the same method in selecting suppliers of problems in global supply chains [18]. Meanwhile, other studies from Demirel et al employed the above methods to evaluate the risks based on Turkish Agricultural strategies [19]. Unfortunately, implementing F-AHP and F-ANP for the smartphone selection case has not yet been found.…”

Section: Introductionmentioning

confidence: 99%

Decision Support System for Smartphone Recommendation: The Comparison of Fuzzy Ahp and Fuzzy Anp in Multi-Attribute Decision Making

Okfalisa

Rusnedy

Iswavigra

et al. 2020

Sinergi

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Previous researches outlined the advantages of the Analytical Hierarchy Process (AHP) and Analytic Network Process (ANP) methods in solving Multi-Attribute Decision Making (MADM) problems. The advancement of the above methods was continually developed as an effort to cover up various weaknesses. Mainly related to the consistency and linguistic variables in translating the expert opinions. Thus, it initialized the emergence of Fuzzy AHP (F-AHP) and Fuzzy ANP (F-ANP). Due to the restricted operation of these algorithms in smartphone selection, this research attempted to investigate the effectiveness of both methods in providing the analysis of criteria weight, the final recommendation weight, the product recommendation weight, and the execution time in DSS-SmartPhoneRec application development. A survey of one hundred respondents of University students identified the dominant criteria in selecting the smartphone, namely price, Random Access Memory (RAM), processor, internal memory, and camera. Hence, five alternative products were then chosen as the appropriate smartphones’ recommendations based on the respondent’s preferences. As an automatic tool, a DSS-SmartPhoneRec application was built to analyze and compare between F-AHP and F-ANP methods in resolving the smartphone selection cases. It revealed that the level of consistency of criteria weight, the final weight of recommendation, and the weight that the product-based F-ANP was 40% greater than F-AHP. In terms of execution time, F-AHP had a shorter time than F-ANP. Meanwhile, the comparison of products recommendation from DSS-SmartPhoneRec and a manual test showed that F-ANP was 16% more in line with the respondents’ predilection. In a nutshell, the DSS-SmartPhoneRec administered the devote smartphone recommendations based on the user’s expectation. The comparison analysis furnished a learning outcome for the users in determining the appropriate MADM method tailored to the type of cases.

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Risk-Based Evaluation of Turkish Agricultural Strategies using Fuzzy AHP and Fuzzy ANP

Cited by 16 publications

References 30 publications

Evaluation of deep high-rank coal seam gas content and favorable area division based on GIS: A case study of the South Yanchuan block in Ordos Basin

Evaluation of deep high-rank coal seam gas content and favorable area division based on GIS: A case study of the South Yanchuan block in Ordos Basin

Gıda sektöründe hizmet veren özel üretici firma seçiminde üçgensel sayılar ile üç tekniğin kullanılması: Türkiye'den bir örnek

Decision Support System for Smartphone Recommendation: The Comparison of Fuzzy Ahp and Fuzzy Anp in Multi-Attribute Decision Making

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