scholarly journals A fuzzy intelligent system for land consolidation – a case study in Shunde, China

2015 ◽  
Vol 7 (2) ◽  
pp. 1347-1374 ◽  
Author(s):  
J. Wang ◽  
A. Ge ◽  
Y. Hu ◽  
C. Li ◽  
L. Wang
Keyword(s):  
Decision Making ◽  
Index System ◽  
Evaluation System ◽  
Agricultural Land ◽  
Linear Equations ◽  
Fuzzy Measure ◽  
Land Consolidation ◽  
Fuzzy Integral ◽  
New Model ◽  
Estimation System

Abstract. Traditionally, potential evaluation methods for farmland consolidation have depended mainly on the experts' experiences, statistical computations or subjective adjustments. Some biases usually exist in the results. Thus, computer-aided technology has become essential. In this study, an intelligent evaluation system based on a fuzzy decision tree was established, and this system can deal with numerical data, discrete data and symbolic data. When the original land data are input, the level of potential of the agricultural land for development will be output by this new model. The provision of objective proof for decision making by authorities in rural management is helpful. Agricultural land data characteristically comprise large volumes, complex varieties and more indexes. In land consolidation, it is very important to construct an effective index system. We needed to select a group of indexes useful for land consolidation according to the concrete demand. In this paper, a fuzzy measure, which can describe the importance of a single feature or a group of features, is adopted to accomplish the selection of specific features. A fuzzy integral that is based on a fuzzy measure is a type of fusion tool. We obtained the optimal solution for a fuzzy measure by solving a fuzzy integral. The fuzzy integrals can be transformed to a set of linear equations. We applied the L1-norm regularization method to solve the linear equations, and we found a solution with the fewest nonzero elements for the fuzzy measure; this solution shows the contribution of corresponding features or the combinations of decisions. This algorithm provides a quick and optimal way to identify the land index system when preparing to conduct the research, such as we describe herein, on land consolidation. Shunde's "Three Old" consolidation project provides the data for this work. Our estimation system was compared with a conventional evaluation system that is still accepted by the public. Our results prove to be consistent, and the new model is more automatic and intelligent. The results of this estimation system are significant for informing decision making in land consolidation.

scholarly journals A fuzzy intelligent system for land consolidation – a case study in Shunde, China

Solid Earth ◽  
2015 ◽  
Vol 6 (3) ◽  
pp. 997-1006 ◽  
Author(s):  
J. Wang ◽  
A. Ge ◽  
Y. Hu ◽  
C. Li ◽  
L. Wang
Keyword(s):  
Decision Making ◽  
Index System ◽  
Evaluation System ◽  
Agricultural Land ◽  
Intelligent System ◽  
Fuzzy Measure ◽  
Land Consolidation ◽  
Fuzzy Integral ◽  
New Model ◽  
Estimation System

Abstract. Traditionally, potential evaluation methods for farmland consolidation have depended mainly on the experts' experiences, statistical computations or subjective adjustments. Some biases usually exist in the results. Thus, computer-aided technology has become essential. In this study, an intelligent evaluation system based on a fuzzy decision tree was established, and this system can deal with numerical data, discrete data and symbolic data. When the original land data are input, the level of potential of the agricultural land for development will be output by this new model. The provision of objective proof for decision-making by authorities in rural management is helpful. Agricultural land data characteristically comprise large volumes, complex varieties and more indexes. In land consolidation, it is very important to construct an effective index system. A group of indexes need to be selected for land consolidation. In this article, a fuzzy measure was adopted to accomplish the selection of specific features. A fuzzy integral based on a fuzzy measure is a type of fusion tool. The optimal solution with the fewest non-zero elements was obtained for the fuzzy measure by solving a fuzzy integral. This algorithm provides a quick and optimal way to identify the land-index system when preparing to conduct land consolidation. This new research was applied to Shunde's "Three Old" consolidation project which provides the data. Our estimation system was compared with a conventional evaluation system that is still accepted by the public. Our results prove to be consistent, and the new model is more automatic and intelligent. The results of this estimation system are significant for informing decision-making in land consolidation.

scholarly journals Adaptation of the land agricultural suitability evaluation system to high-altitude vineyards

2019 ◽  
Vol 36 (2) ◽  
pp. 58-73
Author(s):  
Denilson Dortzbach ◽  
Arcangelo Loss ◽  
Marcos Gervasio Pereira ◽  
Ludmila Machado ◽  
Lúcia Helena Anjos
Keyword(s):  
Decision Making ◽  
High Altitude ◽  
Evaluation System ◽  
Agricultural Land ◽  
Oxygen Deficiency ◽  
Limiting Factors ◽  
Santa Catarina ◽  
Suitability Evaluation ◽  
Adequate Information ◽  
Effective Depth

Adequate information on agricultural land suitability for viticulture are important for the expansion of the activity in wine producing regions, as the state of Santa Catarina, Brazil. This information contributes to improve the efficiency of evaluations, with the inclusion of different management levels for the crop and redefinition of limiting levels of agricultural land conditions. In this context, the objective of this work was to adapt the Land Agricultural Suitability Evaluation System (LASES) to grapevine crops grown in high-altitude regions in Santa Catarina. The LASES was modified based on the crop demands and managements, proposing the incorporation, removal, adjust and update of parameters used in the LASES. The limiting factors considered were topography, fertility, water excess or oxygen deficiency, susceptibility to erosion, impediments to meccanization, and soil effective depth. These traits were based on data of bibliographic surveys and five limiting levels were attributed to them: null, mild, moderate, strong, and very strong. Agricultural suitability classes like good, regular, restrictive and inapt resulted from the interaction between agricultural conditions and management levels of viticulture producers, and later, a suitability guide table was developed. The adaptation of the LASES to grapevine crops grown in high-altitude conditions in Santa Catarina incorporate and adjust local aspects that are important for the grapevine production system. Thus, it is an important tool for decision making when implementing new vineyards and contributes to a possible increase of this activity in the region.

scholarly journals Decision-making models using the Analytical Hierarchy Process in the urgency of land consolidation works

2019 ◽  
Vol 43 (1) ◽  
pp. 144-150
Author(s):  
Grzegorz Oleniacz ◽  
Izabela Skrzypczak ◽  
Przemysław Leń
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Rural Areas ◽  
Agricultural Land ◽  
Expert Knowledge ◽  
Land Consolidation ◽  
Number Of Factors ◽  
Decision Making Models ◽  
Hierarchy Process ◽  
Land Exchange

AbstractPoland is characterized by a number of factors which adversely affect the agricultural economy, so this paper will aim to present the possibilities of using multi-criteria decision-making methods of Analytical Hierarchy Process (AHP) in the analysis of the spatial structure of rural areas. AHP is a widely used tool for making complex decisions based on a large number of criteria, such as, for example, land consolidation works on fragmented agricultural land. The first step is to formulate the decision-making process, then the assessment criteria and the solution variants guided by expert knowledge are determined.A ranking, according to which the order of land consolidation and land exchange works in the studied area should be determined, will be defined by using decision-making models of the AHP method. The basis for calculations will be the weights received for the factors/parameters defined for the five thematic groups. Calculations for individual villages will be made, and then the obtained results will allow creating a ranking for the studied commune, allowing for the effective (in terms of economic and socio-economic) spending of funds for this purpose. The presented method can be successfully used to conduct analogous analyses for any area.

scholarly journals Evaluation of equipment maintenance quality: A hybrid multi-criteria decision-making approach

2019 ◽  
Vol 11 (3) ◽  
pp. 168781401983601 ◽  
Author(s):  
Libin Zhang ◽  
Lele Zhang ◽  
Hongying Shan
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Particle Swarm Optimization ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Fuzzy Measure ◽  
Fuzzy Integral ◽  
Multi Criteria Decision Making ◽  
Swarm Optimization ◽  
Bee Colony

Maintenance plays a crucial role in the entire life cycle of equipment. With the acceleration of industrialization, the evaluation of equipment maintenance quality has undoubtedly become more challenging due to the complex mechanical structure, various maintenance modes, and so on. In order to make decisions scientifically, a hybrid multi-criteria decision-making approach integrating triangle fuzzy number, λ-fuzzy measure, TOPSIS, and Choquet fuzzy integral is proposed in this article. First, the interaction among criteria can be handled reasonably by fuzzy integral based on λ-fuzzy-measure. Second, fuzzy numbers which are given by experts are applied to deal with fuzzy linguistic value. In addition, artificial bee colony algorithm is first introduced to identify λ-fuzzy-measure. The comparison results of three optimization algorithms which include artificial bee colony algorithm, genetic algorithm, and particle swarm optimization prove artificial bee colony algorithm is more effective than genetic algorithm and particle swarm optimization. A case study which contains six maintenance alternatives is practiced to prove the effectiveness of the proposed hybrid multi-criteria decision-making approach. Finally, the comparison is made between the proposed method and two classical multi-criteria decision-making approaches which refer to TOPSIS and gray correlation, and the results demonstrate the proposed method is suitable to solve maintenance quality evaluation problem.

scholarly journals Application of Fuzzy Measure and Fuzzy Integral in Students Failure Decision Making

2014 ◽  
Vol 10 (6) ◽  
pp. 47-53 ◽  
Author(s):  
A.M Mane ◽  
◽  
T.D Dongale ◽  
M.S Bapat
Keyword(s):  
Decision Making ◽  
Fuzzy Measure ◽  
Fuzzy Integral

An Evaluation System for Arable Land Consolidation Potential and its Application in China

2013 ◽  
Vol 42 (4) ◽  
pp. 265-272 ◽  
Author(s):  
Zhengfeng Zhang ◽  
Jinming Yan ◽  
Wenwu Zhao ◽  
Wei Zhao
Keyword(s):  
Evaluation System ◽  
Arable Land ◽  
Land Consolidation

scholarly journals Analysis of Ownership Data from Consolidated Land Threatened by Water Erosion in the Vlára Basin, Slovakia

2020 ◽  
Vol 13 (1) ◽  
pp. 51
Author(s):  
Alexandra Pagáč Mokrá ◽  
Jakub Pagáč ◽  
Zlatica Muchová ◽  
František Petrovič
Keyword(s):  
Soil Erosion ◽  
Soil Loss ◽  
Agricultural Land ◽  
Water Erosion ◽  
Land Consolidation ◽  
Land Fragmentation ◽  
Erosion Risk ◽  
Definition Of ◽  
The Relationship ◽  
Soil Loss Equation

Water erosion is a phenomenon that significantly damages agricultural land. The current land fragmentation in Slovakia and the complete ambiguity of who owns it leads to a lack of responsibility to care for the land in its current condition, which could affect its sustainability in the future. The reason so much soil has eroded is obvious when looking at current land management, with large fields, a lack of windbreaks between them, and no barriers to prevent soil runoff. Land consolidation might be the solution. This paper seeks to evaluate redistributed land and, based on modeling by the Universal Soil Loss Equation (USLE) method, to assess the degree of soil erosion risk. Ownership data provided information on how many owners and what amount of area to consider, while taking into account new conditions regarding water erosion. The results indicate that 2488 plots of 1607 owners which represent 12% of the model area are still endangered by water erosion, even after the completion of the land consolidation project. The results also presented a way of evaluating the territory and aims to trigger a discussion regarding an unambiguous definition of responsibility in the relationship between owner and user.

scholarly journals Construction of a Near-Natural Estuarine Wetland Evaluation Index System Based on Analytical Hierarchy Process and Its Application

Water ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 2116
Author(s):  
Jiajun Sun ◽  
Yangyang Han ◽  
Yuping Li ◽  
Panyue Zhang ◽  
Ling Liu ◽  
...  
Keyword(s):  
Ecological Restoration ◽  
Water Purification ◽  
Analytical Hierarchy Process ◽  
Index System ◽  
Evaluation System ◽  
Positive Impact ◽  
Environmental Benefits ◽  
Estuarine Wetland ◽  
Estuarine Wetlands ◽  
Hierarchy Process

Nutrients carried in upstream rivers to lakes are the main cause of eutrophication. Building near-natural estuarine wetlands between rivers and lakes is an effective way to remove pollutants and restore the ecology of estuarine areas. However, for the existing estuarine wetland ecological restoration projects, there is a lack of corresponding evaluation methods and index systems to make a comprehensive assessment of their restoration effects. By summarizing a large amount of literature and doing field research, an index system was constructed by combining the characteristics of the near-natural estuarine wetlands themselves. It covered environmental benefits, technical management and maintenance, and socio-economic functions, and contained 3 systems, 7 criteria, and 16 indicators. The analytical hierarchy process (AHP) was used to determine the weights of each indicator. The top 5 indicators in order of importance were habitat diversity, total phosphorus (TP), coverage of aquatic plants, ammonia nitrogen (NH3-N), and adaptation to the surrounding landscape. The above evaluation system was used for the comprehensive evaluation of the water purification project in the Fuhe estuarine wetland, Hebei Province, as an example. The results showed that the comprehensive score of the Fuhe estuarine wetland at this stage was 4.1492, and the evaluation grade was excellent. The effect of water purification and ecological restoration was good, and the selected technology was suitable and stable in operation. It had a greater positive impact on the surrounding economy and society and can be promoted and applied. The research results were important for clarifying the advantages and defects of the project and developing efficient and advanced restoration technologies.

Sign in / Sign up

Export Citation Format

Share Document