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 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 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.

South Korea in 2016

Asian Survey ◽  
2017 ◽  
Vol 57 (1) ◽  
pp. 103-110
Author(s):  
Gi-Wook Shin ◽  
Rennie J. Moon
Keyword(s):  
Decision Making ◽  
South Korea ◽  
High Altitude ◽  
Nuclear Weapons ◽  
North Korea ◽  
Heavy Industry ◽  
Financial Difficulties ◽  
Official Position ◽  
Leadership Crisis ◽  
High Altitude Area

President Park faced a leadership crisis after revelations that she relied on a confidant with no official position for key decision-making in state affairs. Heavy industry met with serious financial difficulties, and a strong anti-corruption law was enacted. North Korea tested more nuclear weapons and missiles. Controversy over the deployment of Terminal High Altitude Area Defense strained South Korea’s relations with China.

scholarly journals The Decision Making Trial and Evaluation Laboratory (Dematel) and Analytic Network Process (ANP) for Safety Management System Evaluation Performance

2018 ◽  
Vol 31 ◽  
pp. 12006 ◽  
Author(s):  
Lisa Rolita ◽  
Bayu Surarso ◽  
Rahmat Gernowo
Keyword(s):  
Decision Making ◽  
Management System ◽  
Evaluation System ◽  
Safety Management ◽  
Analytic Network Process ◽  
Performance Criterion ◽  
Questionnaire Data ◽  
Safety Management System ◽  
International Airport ◽  
Network Process

In order to improve airport safety management system (SMS) performance, an evaluation system is required to improve on current shortcomings and maximize safety. This study suggests the integration of the DEMATEL and ANP methods in decision making processes by analyzing causal relations between the relevant criteria and taking effective analysis-based decision. The DEMATEL method builds on the ANP method in identifying the interdependencies between criteria. The input data consists of questionnaire data obtained online and then stored in an online database. Furthermore, the questionnaire data is processed using DEMATEL and ANP methods to obtain the results of determining the relationship between criteria and criteria that need to be evaluated. The study cases on this evaluation system were Adi Sutjipto International Airport, Yogyakarta (JOG); Ahmad Yani International Airport, Semarang (SRG); and Adi Sumarmo International Airport, Surakarta (SOC). The integration grades SMS performance criterion weights in a descending order as follow: safety and destination policy, safety risk management, healthcare, and safety awareness. Sturges' formula classified the results into nine grades. JOG and SMG airports were in grade 8, while SOG airport was in grade 7.

scholarly journals Suitability evaluation system for the production and sourcing of agricultural commodities

2019 ◽  
Vol 161 ◽  
pp. 170-184
Author(s):  
Isabel Jaisli ◽  
Patrick Laube ◽  
Sonja Trachsel ◽  
Pascal Ochsner ◽  
Sarah Schuhmacher
Keyword(s):  
Evaluation System ◽  
Agricultural Commodities ◽  
Suitability Evaluation

Study of highway asphalt pavement recycling maintenance scheme decision system and decision method

2021 ◽  
pp. 1-10
Author(s):  
Hongjun Jing ◽  
Ping Yao ◽  
Lichen Song ◽  
Jiahao Zhang ◽  
Yanlong Zhao ◽  
...  
Keyword(s):  
Decision Making ◽  
Evaluation System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Asphalt Pavement ◽  
Economic Benefits ◽  
Highway Maintenance ◽  
Decision System ◽  
Recovery Index ◽  
Pavement Recycling

With modern economic and social development, the technical and economic requirements of highway maintenance and construction projects have become increasingly complicated. Meticulous and in-depth investigation and demonstration guided by scientific theories and methods are of considerable importance to highway maintenance scheme decision. As basis for the selection of highway asphalt pavement recycling maintenance scheme, the factors influencing the decision are analytically demonstrated and an evaluation system is proposed, including three major decision indexes: applicability of recycling mode, recycled pavement quality recovery index, and economic benefit. According to the principles of data statistics and analysis, this study proposes a calculation method for the recycled pavement quality recovery index, analyzes the economic benefits of decision schemes using economic models such as recycling ratio and cost, and puts forward an optimal evaluation method of engineering cost and its fuzzy score intervals. Index weights are calculated through the analytic hierarchy process, and the comprehensive decision evaluation system and comprehensive evaluation method are established. Subsequently, the decision-making method is analyzed on the basis of the decision system by combining the related data. Results show maximum weight of the pavement quality recovery index and minor differences among four recycling schemes in the quality recovery index and applicability. The decision-making results are simplified with clear hierarchical feature because of the fuzzy score intervals of each index. Findings can provide a reference for the asphalt pavement recycling scheme decision.

scholarly journals Relevance of prognostic factors in the decision-making of stem cell transplantation in Myelodysplastic Syndromes

2016 ◽  
Vol 62 (suppl 1) ◽  
pp. 25-28
Author(s):  
Fernando Barroso Duarte ◽  
Talyta Ellen de Jesus dos Santos ◽  
Maritza Cavalcante Barbosa ◽  
Jacques Kaufman ◽  
João Paulo de Vasconcelos ◽  
...  
Keyword(s):  
Decision Making ◽  
Stem Cell ◽  
Prognostic Factors ◽  
Hematopoietic Stem Cell Transplantation ◽  
Stem Cell Transplantation ◽  
Myelodysplastic Syndrome ◽  
Cell Transplantation ◽  
Myelodysplastic Syndromes ◽  
Limiting Factors ◽  
Hematopoietic Stem

ABSTRACT The hematopoietic stem cell transplantation (HSCT) is the only curative alternative for Myelodysplastic Syndrome (MDS), but many patients are not eligible for this treatment, as there are several limiting factors, especially in the case of patients with low-risk MDS. The aim of this study is to discuss the factors that can guide the decision-making on referring or not a patient to HSCT. Three cases of MDS, two of which were submitted to HSCT are presented. We intend to report the difficulties in referring patients with MDS to transplant and the prognostic factors that contribute to define eligibility.

scholarly journals Developing a User Friendly Decision Tool for Agricultural Land Use Allocation at a Regional Scale

2017 ◽  
Vol 11 (5) ◽  
pp. 11 ◽  
Author(s):  
Sumbangan Baja ◽  
Samsu Arif ◽  
Risma Neswati
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Land Suitability ◽  
Soil Survey ◽  
Agricultural Land Use ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Land Use Allocation ◽  
User Friendly

Agricultural land use planning should always be guided by a reliable tool to ensure effective decision making in the allocation of land use and activities. The primary aim of this study is to develop a user friendly system on a spatial basis for agricultural land suitability evaluation of four groups of agriculture commodities, including food crops, horticultural crops, perennial (plantation) crops, grazing, and tambak (fish ponds) to guide land use planning. The procedure used is as follows: (i) conducting soil survey based on generated land mapping units; (ii) developing soil database in GIS; and (iii) designing a user friendly system. The data bases of the study were derived from satellite imagery, digital topographic map, soil characteristics at reconnaissance scale, as well as climate data. Land suitability evaluation in this study uses the FAO method. The study produces a spatial based decision support tool called SUFIG-Wilkom that can give decision makers sets of information interactively for land use allocation purposes.This user friendly system is also amenable to various operations in a vector GIS, so that the system may accommodate possible additional assessment of other land use types.

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