Integrating agricultural sustainability into policy planning: A geo-referenced framework based on Rough Set theory

Demartini, Eugenio; Gaviglio, Anna; Bertoni, Danilo

doi:10.1016/j.envsci.2015.07.006

Cited by 26 publications

(27 citation statements)

References 47 publications

(37 reference statements)

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“…In the last three decades, RST has been attracted many researchers in many various fields. Such as Multi-source alert data understanding [15], vertex cover problem [16], Self-adaptive Extreme Learning Machine [17], Group multi-criteria design concept evaluation [18], Thyroid disease diagnosis [19], Road Safety Indicator Analysis [20], Low carbon technology integration innovation assessment [21], Outlier detection [22], Integrating agricultural sustainability into policy planning [23]. However, numerical attributes and hybrid attributes may both be used in practice.…”

Section: Attribute Reduction Based On Fuzzy Rough Setmentioning

confidence: 99%

City traffic flow breakdown prediction based on fuzzy rough set

Yang

et al. 2017

Open Physics

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Abstract:In city traffic management, traffic breakdown is a very important issue, which is defined as a speed drop of a certain amount within a dense traffic situation. In order to predict city traffic flow breakdown accurately, in this paper, we propose a novel city traffic flow breakdown prediction algorithm based on fuzzy rough set. Firstly, we illustrate the city traffic flow breakdown problem, in which three definitions are given, that is, 1) Pre-breakdown flow rate, 2) Rate, density, and speed of the traffic flow breakdown, and 3) Duration of the traffic flow breakdown. Moreover, we define a hazard function to represent the probability of the breakdown ending at a given time point. Secondly, as there are many redundant and irrelevant attributes in city flow breakdown prediction, we propose an attribute reduction algorithm using the fuzzy rough set. Thirdly, we discuss how to predict the city traffic flow breakdown based on attribute reduction and SVM classifier. Finally, experiments are conducted by collecting data from I-405 Freeway, which is located at Irvine, California. Experimental results demonstrate that the proposed algorithm is able to achieve lower average error rate of city traffic flow breakdown prediction.

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Section: Attribute Reduction Based On Fuzzy Rough Setmentioning

confidence: 99%

City traffic flow breakdown prediction based on fuzzy rough set

Yang

et al. 2017

Open Physics

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“…(g) In order to capture the influence of the GGP program, the financial side of the program is represented by the GGP subsidy as a share of total household income (H 16 ) and the physical aspect is covered by the ratio of GGP land to cultivated farmland (H 17 ). (h) Finally, social participation is indicated by the frequency of household members going to markets (H 18 ) and access for females to training and official meetings (H 19 ).…”

Section: Impact Of Ggp and Framework Conditions On Sustainability: Mumentioning

confidence: 99%

“…In previous studies with regard to sustainable agriculture on the Loess Plateau, a holistic "variation-selection-replication-retention" model was built to analyze the transformation of agricultural development from an evolutionary perspective [10]: the spatial variability of soil total nitrogen (STN) and soil total phosphorus (STP) levels as well as water use efficiencies and long-term crop rotation systems were analyzed to reflect sustainable agriculture development [14,15]; land suitability was evaluated and land use scenarios were simulated to explore sustainable agriculture [16]; and runoff and sediment loss as well as soil organic matter and soil nutrients were measured [17,18]. Although these studies shed light on agricultural sustainability, little attention has been paid to evaluating the environmental benefits, economic viability and social equity of agricultural systems in an integrative way [19][20][21]. Taking the case of China's Loess Hills, this study analyzes the environmental, economic and social sustainability of farming systems under the GGP environmental program.…”

Section: Introductionmentioning

confidence: 99%

Sustainability of Smallholder Agriculture in Semi-Arid Areas under Land Set-aside Programs: A Case Study from China’s Loess Plateau

Amjath-Babu

Zander

et al. 2016

Sustainability

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This article analyzes agricultural sustainability in the context of land degradation, rural poverty and social inequality, taking China's Loess Hills as an example. The analysis attempts to understand the multi-dimensionality of sustainability at the farm level and its relationship with physical-socio-economic-infrastructural-technological framework conditions in the context of the land set-aside program viz. the Grain for Green Project (GGP). We developed composite indices of sustainability and its environmental, economic and social dimensions using a principal component analysis (PCA)-based weighting scheme. Regression analyses were conducted to examine the relationship between the estimated sustainability indicators and the variables representing framework conditions of knowledge, demographics, resource endowment and production techniques. The stated analysis was conducted on a dataset collected by means of household surveys in 2014 in valleys and flood plain areas in Yanhe Township. Findings reveal hidden correlations among the indicators of environmental, economic, and social pillars of sustainability. The ratio of land under the conservation program to actual farmland emerged as a key determinant of overall agricultural sustainability and its social dimension, which reaches the maximum when the ratio is around 0.56 and 0.64, respectively. The results also show that there is need to balance off-farm and on-farm income diversification as well as highlight the role of women in ensuring the sustainability of farming households. The core achievement of the article is the definition of the thresholds for the land set-aside program and the identification of major determinants of agricultural sustainability in the rural Chinese context in particular and in rural farming communities in general.

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“…The goal-prescribing models aim to identify techniques that should improve agricultural sustainability. The system-describing model looks at the evaluation of a set of sustainability features of the agricultural activities and aim at identifying strengths and weakness of agricultural systems, helping in decision-making rather than indicating operative solutions [13]. Considering the measurement approaches, researchers have developed different solutions.…”

mentioning

confidence: 99%

“…The evaluation of environmental, social and economic sustainability of farms involves a wide range of sustainability themes that are difficult to combine in a unique approach [13,14]. 3.…”

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confidence: 99%

A Tool for the Sustainability Assessment of Farms: Selection, Adaptation and Use of Indicators for an Italian Case Study

2017

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Indicator-based tools are widely used for the assessment of farm sustainability, but analysts still face methodological and conceptual issues, including data availability, the complexity of the concept of sustainability and the heterogeneity of agricultural systems. This study contributes to this debate through the illustration of a procedure for farm sustainability assessment focussed on the case study of the South Milan Agricultural Park, Italy. The application is based on a set of environmental, social and economic indicators retrieved from the literature review. The framework is based on three main steps: (i) Data collection mainly through interviews with farmers and institutions; (ii) data elaboration through an aggregative structure; and (iii) score analysis. The latter step includes a descriptive analysis that allows a comparison among farms or groups of farms and a principal components analysis that helps to confirm the dimensions in which indicators were previously included (components). Results derived from the sampled farms show that the framework can provide easy-to-read results useful at different levels. The study highlighted the procedures for the framework construction that is compatible with the region's context and objectives, using an analytical approach that aims at the use of balanced features of availability and reliability of data.

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Integrating agricultural sustainability into policy planning: A geo-referenced framework based on Rough Set theory

Cited by 26 publications

References 47 publications

City traffic flow breakdown prediction based on fuzzy rough set

City traffic flow breakdown prediction based on fuzzy rough set

Sustainability of Smallholder Agriculture in Semi-Arid Areas under Land Set-aside Programs: A Case Study from China’s Loess Plateau

A Tool for the Sustainability Assessment of Farms: Selection, Adaptation and Use of Indicators for an Italian Case Study

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