scholarly journals Applicability of Fuzzy and Fuzzy Analytic Hierarchy Process (Fuzzy AHP) Methods to Determine the Optimum Soil Depth in Land Suitability Evaluation for Irrigated Rice

2021 ◽  
Vol 54 (1) ◽  
pp. 103
Author(s):  
Nafiseh Yaghmaeian Mahabadi ◽  
Shahram Mahmoud Soltani

<p>The conventional Boolean logic models of land suitability assessment disregard the continuity concepts of the soil and landscape which might cause inaccurate evaluation and classification. To overcome this uncertainty and consequent constraints, the fuzzy set theories were introduced. Therefore, the current study was undertaken to estimate the optimum soil depth that is used in land suitability evaluation for irrigated rice through the fuzzy sets theory and analytic hierarchy process (fuzzy AHP) in Guilan Province, Iran. The square root and quantitative land suitability evaluation methods were employed to calculate traditional land suitability indices (for depths, 0-25, 0-50, 0-75, and 0-100 cm). Also, fuzzy and fuzzy AHP methods were used to explore new land indices. The Sarma similarity indices were used to compare the results of traditional and fuzzy methods for different soil depths. The results showed that the compatibility percentage between the representative pedons (0-100 cm) and the findings of this research (0-50 and 0-75 cm) were remarkable. Furthermore, the highest compatibility percentage of land suitability class was related to the comparison of these two former depths and 0 to 100 cm depths in each of the two used fuzzy methods. Besides, except for 0-25 cm depths, actual yield revealed a significant and positive correlation with the rest three soil pedon depths. These findings show that considering 0 to 50 cm soil depth might be a relevant alternative as the optimal depth to evaluate land suitability for rice in paddy fields in the Guilan rice-growing area. </p>

2020 ◽  
Vol 1 (1) ◽  
pp. 42-46
Author(s):  
D. M. Thapa ◽  
C.P. Shrivastav ◽  
S.C. Shah ◽  
K. Sah

The present research was conducted at Chitwan district of Sharadanagar to evaluate land suitability integrating with Geographical Information System (GIS) technology-incorporates the multi criteria evaluations (MCE) and analytic hierarchy process (AHP) in 2014.


Author(s):  
G. Marimuthu ◽  
G. Ramesh

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.


2010 ◽  
Vol 20 (1) ◽  
pp. 71-85 ◽  
Author(s):  
Milanka Gardasevic-Filipovic ◽  
Dragan Saletic

In the paper the fuzzy extension of the Analytic Hierarchy Process (AHP) based on fuzzy numbers, and its application in solving a practical problem, are considered. The paper advocates the use of contradictory test to check the fuzzy user preferences during fuzzy AHP decision-making process. We also propose consistency check and deriving priorities from inconsistent fuzzy judgment matrices to be included in the process, in order to check if the fuzzy approach can be applied in the AHP for the problem considered. An aggregation of local priorities obtained at different levels into composite global priorities for the alternatives based on weighted-sum method is also discussed. The contradictory fuzzy judgment matrix is analyzed. Our theoretical consideration has been verified by an application of commercially available Super Decisions program (developed for solving multi-criteria optimization problems using AHP approach) on the problem previously treated in the literature. The obtained results are compared with those from the literature. The conclusions are given and the possibilities for further work in the field are pointed out.


Techno Com ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 178-189
Author(s):  
Siti Monalisa ◽  
Raynaldi Setiawan

BMT Al-ittihad terdapat bermacam-macam pembiayaan  salah satunya Murabahah yang berarti akad jual beli barang dengan menyatakan harga perolehan dan keuntungan (margin) yang disepakati oleh penjual dan pembeli. BMT Al-itthad dalam proses melaksanakan akad Murabahah dilakukan dengan menganalisa kelayakan pemberian pembiayaan kepada anggota dengan cara melengkapi persyaratan umum dan menggunakan bahasa yang subjektif terhadap penilaian kriteria karakter berdasarkan rekomendasi anggota lain,wawancara dan cara berkomunikasi, Penilaian karakter merupakan penilaian yang paling penting berdasarkan hasil wawancara dengan kepala pembiayaan karena penilaian karakter merupakan penilaian untuk melihat apakah anggota sanggup dan amanah membayar hutang. Untuk mengatasi penilaian yang bersifat subjektif maka dirancang sebuah sistem pendukung keputusan pemberian pembiayaan dengan menggunakan metode fuzzy analytic hierarchy process. Metode fuzzy AHP merupakan penggabungan dari metode fuzzy dan AHP. Metode fuzzy AHP dapat menutupi kelemahan yang terdapat pada AHP yaitu menangani penilaian yang bersifat subjektif . Sistem ini dirancang menggunakan bahasa pemrograman PHP, MySQL , sedangkan metode pengembangan sistem menggunakan V-model dan UML sebagai standar pemodelannya. Sistem pendukung keputusan  ini dapat memudahkan serta mempercepat proses penentuan pemberian pembiayaan Murabahah kepada anggota.


Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.


2018 ◽  
Vol 64 (No. 3) ◽  
pp. 129-138
Author(s):  
Bagherzadeh Ali

In the present study the qualitative land suitability evaluation by parametric and analytic hierarchy process (AHP) approaches was investigated for two tree species including Norway maple and black locust in the Toroq watershed, a semiarid region, in the northeast of Iran. The values of land suitability indices by the parametric approach for Norway maple and black locust plantations ranged from 22.46 to 67.50 and 23.23 to 75.11 respectively, while by the AHP approach they varied between 35.91 and 84.58 for Norway maple and from 32.87 to 94.31 for black locust plantations. The suitability classes for both tree species by the parametric approach were classified into moderately suitable in the eastern part of the basin, and not suitable in the middle and western parts of the study area. According to the AHP approach the suitability classes varied from highly suitable in some parts in the east to moderately suitable in the middle, east and some parts in the west and not suitable in some parts in the north and southwest of the basin.


Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 742 ◽  
Author(s):  
Xiaobo Zhang ◽  
Chengshan Wang ◽  
Jie Fan ◽  
Huijun Wang ◽  
Hailong Li

Underground space has been recognized as one of the few underdeveloped natural resources that humans have owned thus far [...]


Author(s):  
Toshiyuki Yamashita ◽  

Analytic Hierarchy Process (AHP) is one of the most popular tools for supporting human decision making, and several fuzzy extensions of AHP have been proposed. The present study investigated psychological effects of both fuzzy ratings in fuzzy AHP and crisp feedback of the results from fuzzy AHP. The results suggest that fuzzy ratings could incorporate the fuzziness of a person’s feelings in his/her decision making. The results also suggest that crisp feedback, which exaggerates the superiority of only one alternative or the differences among the alternatives, could help a person to make his/her decision, especially when being deeply puzzled about his/her choice.


2011 ◽  
Vol 243-249 ◽  
pp. 4302-4306
Author(s):  
Ji Feng Liang ◽  
Xie Dong Zhang ◽  
Lei Wu

Based on a comprehensive analysis of the influencing factors and special features of cement concrete pavement overlaying technology, a fuzzy analytic hierarchy process (AHP) model is constructed for the comparison and selection of overlaying schemes. At first, the numerical weight for each criterion of the hierarchy is derived and tested. Then the feature matrices of all the schemes are constructed based on experts’ evaluation. The optimal scheme is chosen according to the numerical priorities of each scheme yielded by fuzzy calculation.


2010 ◽  
Vol 4 (1) ◽  
pp. 96-104 ◽  
Author(s):  
Tsung-Lin Lee

In this paper, the application of the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) combined with a set of criteria analysis for the selection of appropriate sites for the development offshore wind energy in Taiwan is presented. The Fuzzy AHP was first conducted to rank the importance and identify the key factors of offshore wind energy successfully. From the numerical results, eight key factors that must be considered in the site selection of offshore wind energy system in Taiwan were obtained by using Fuzzy AHP model. They are: wind power, earthquakes, land use, shore type, typhoon, distance to shoreline, flight safety and water depth. Based on these factors, a set of criteria for the selection of sites for offshore wind farms was also established using five different sites in Taiwan. From the assessment results, it was found that Changhua coastal region is an appropriate site for offshore wind energy in Taiwan.


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