Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops

Seyedmohammadi, Javad; Sarmadian, Fereydoon; Jafarzadeh, Ali Asghar; Ghorbani, Mohammad Ali; Shahbazi, Farzin

doi:10.1016/j.geoderma.2017.09.012

Cited by 151 publications

(53 citation statements)

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“…In this section, following the methods of Seyedmohammadi et al in 2018 [22], we illustrate the concepts and steps of TFN, Fuzzy-AHP, and Fuzzy-TOPSIS. en,…”

Section: Methods Of Evaluationmentioning

confidence: 99%

Optimization of Subsidy Policy for New Energy Automobile Industry in China Based on an Integrated Fuzzy-AHP-TOPSIS Methodology

Wang

Song

Zhang

et al. 2019

Mathematical Problems in Engineering

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With the continuous tension of the international energy supply and the increasing appeal of the global environmental protection, the development of the new energy vehicle industry has attracted international attention. In order to support the development of new energy automobile production, China has frequently issued support policies. However, the problem of subsidy fraud has been exposed. erefore, in order to help the healthy development of China's new energy automobile industry and reduce the risk of subsidy fraud, this paper investigates 15 representative new energy auto enterprises in China and independently evaluates their performance from three aspects. We first use triangular fuzzy numbers (TFNs) to simulate an uncertain decision environment and more closely reflect the decision maker's thinking model; we then propose an analytic hierarchy process (AHP)-technique for order preference by similarity to an ideal solution (TOPSIS) method based on fuzzy data to rank 15 enterprises. Finally, according to the performance of enterprises, we propose differentiated subsidy policy recommendations. e model proposed in this paper takes into account the uncertainty of subjective evaluation so as to increase the credibility of the results. At the same time, the model can also be applied in other industries.

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“…In this section, following the methods of Seyedmohammadi et al in 2018 [22], we illustrate the concepts and steps of TFN, Fuzzy-AHP, and Fuzzy-TOPSIS. en,…”

Section: Methods Of Evaluationmentioning

confidence: 99%

Optimization of Subsidy Policy for New Energy Automobile Industry in China Based on an Integrated Fuzzy-AHP-TOPSIS Methodology

Wang

Song

Zhang

et al. 2019

Mathematical Problems in Engineering

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“…Conversion of trapezoidal fuzzy numbers to crisp numbers is done through the following equation 82 : Table 21 indicates the decision matrix with crisp numbers. Conversion of trapezoidal fuzzy numbers to crisp numbers is done through the following equation 82 : Table 21 indicates the decision matrix with crisp numbers.…”

Section: Validationmentioning

confidence: 99%

“…2. Conversion of trapezoidal fuzzy numbers to crisp numbers is done through the following equation 82 : Table 21 indicates the decision matrix with crisp numbers. The MATLAB software was used based on the weights obtained by the fuzzy AHP method.…”

Section: Validationmentioning

confidence: 99%

Investigation of solar energy utilization for production of hydrogen and sustainable chemical fertilizer: A case study

Mostafaeipour

Sedeh

2019

Int J Energy Res

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Summary Renewable energies play a vital role in the economic and social development and progress of many countries. As one of the most significant sources of renewable energy, solar energy has been used due to its availability in many regions. Generating electricity for hydrogen production is one of the applications of solar energy. In petrochemical complexes, hydrogen is often used for producing fertilizers, especially urea fertilizers. The present study aims at investigating five major Iranian petrochemical complexes in terms of their suitability for the construction of a solar plant to produce electrolysis‐based green chemical fertilizers. To this end, a multicriteria decision‐making model is proposed, which includes the fuzzy analytic hierarchy process (AHP) and extended TODIM method of multicriteria decision making (including crisp, interval, and fuzzy numbers). The present research investigates 10 criteria for prioritizing petrochemical complexes, classified into four general categories, namely, climatic, geographic, environmental, and probability of natural disaster occurrence categories. Having calculated the weight of the criteria using the fuzzy AHP method, the alternatives are prioritized using the extended TODIM method. The methods of simple additive weighting (SAW), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and VIKOR were then used for validation of the results. Results showed that the Shiraz Petrochemical Complex has the highest priority and Khorasan Petrochemical Complex has the lowest priority for producing green fertilizer via solar energy–assisted water electrolysis. By using the solar system, Shiraz Petrochemical Complex can emit over 1900 tons less pollutants in the environment per day and provides up to 8% of its annual total production through clean energy.

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“…The SAW method is often also known as the weighted summing method [5]. Because the decision maker gives an assessment or weight to each of its alternatives.…”

Section: Simple Additive Weighting (Saw)mentioning

confidence: 99%

The Selection of New Students RSBI Using Fuzzy SAW Based Application

Rachmad¹,

Syakur²,

Widjaya³

et al. 2018

Proceedings of the the 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus

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RSBI (International School Stubs) is an international school organized by the ministry of education and culture to educate the nation. Selection of entry to become RSBI students is very strict. The number of students who register is so much that it makes it difficult for the school to select it. Accuracy and value to students become one of the determinants to enter into RSBI students. There are two types of admission tests for students in RSBI classes: written tests and practice tests.. In order for the selection process to be fair and no cheating then built an application to select prospective students RSBI using Fuzzy Simple Additive Weighting (SAW) method. From the system test conducted using prospective student data has an accuracy of 95.8% and 91.7% of data applicants RSBI prospective students. The results of 7this accuracy are compared with actual student acceptance.

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Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops

Cited by 151 publications

References 50 publications

Optimization of Subsidy Policy for New Energy Automobile Industry in China Based on an Integrated Fuzzy-AHP-TOPSIS Methodology

Optimization of Subsidy Policy for New Energy Automobile Industry in China Based on an Integrated Fuzzy-AHP-TOPSIS Methodology

Investigation of solar energy utilization for production of hydrogen and sustainable chemical fertilizer: A case study

The Selection of New Students RSBI Using Fuzzy SAW Based Application

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