A multiple criteria decision analysis for agricultural planning of new crop alternatives in Turkey

2021 ◽  
pp. 1-13
Author(s):  
Nur Ayvaz-Çavdaroğlu
Keyword(s):  
Agricultural Sector ◽  
Fuzzy Ahp ◽  
Evaluation Criteria ◽  
Comprehensive Analysis ◽  
Multiple Criteria Decision Analysis ◽  
Alternative Crops ◽  
High Profit ◽  
Agricultural Planning ◽  
Environmental Criteria ◽  
New Crop

Agriculture is a crucial and strategic sector for developing countries. The agricultural sector in Turkey has been suffering from regression in recent years due to several reasons. In an attempt to reverse this process, we analyze the cultivation possibilities of high profit-margin crops in Turkish lands and develop a ranking among eight alternative crops. To perform a comprehensive analysis encompassing several dimensions, three MCDM methods are utilized; namely fuzzy AHP to determine the weights of evaluation criteria, and TOPSIS and PROMETHEE to develop a ranking among the crop alternatives. The crop alternatives are evaluated against several economic, technical, social and environmental criteria. The results favor the cultivation of soy bean, goji berry and buckwheat, while tamarind appears to be the least favored crop among the considered alternatives. The analysis results are enhanced with a sensitivity analysis.

scholarly journals Economy of the mexican agriculture sector in times of COVID-19

2021 ◽  
Vol 39 (4) ◽  
Author(s):  
Patricia Rivas-Valencia ◽  
Leonardo Ángel Rosales-Rivas ◽  
Graciela Dolores Ávila-Quezada ◽  
Talina Olivia Martínez-Martínez
Keyword(s):  
Technological Innovation ◽  
Agricultural Sector ◽  
Climate Impact ◽  
Food Chains ◽  
New Production ◽  
Annual Increase ◽  
Agriculture Sector ◽  
Agricultural Planning ◽  
International Policies ◽  
The World

<p>COVID-19, a pandemic disease caused by SARS-CoV-2, changed the production schemes and supply chains in all spheres of the world’s economy. The agricultural sector in Mexico was no exception, although it has been so essential during the pandemic that its growth was higher than the other sectors of the Mexican economy and it stood out as a food supplier in the world in 2020. Farmers’ vocations and the integration of productive food chains led to a surplus of 1.2 billion dollars, with an annual increase of 39.92%. The pandemic is a challenge and an opportunity for the Mexican countryside in terms of digital and technological innovation derived from border investigation. However, it is crucial to establish public agricultural planning policies to help optimize this area of opportunity by focusing on new production and national and international trade models, responding efficiently to national visions to benefit  producers-consumers and guaranteeing food security in the framework of the UN’s international policies for sustainable development, the IPCC’s reduction of climate impact and ensuring human health by the WHO.</p>

Agricultural Health and Safety Measures by Fuzzy ahp and Prediction by Fuzzy Expert System

2020 ◽  
pp. 239-260
Author(s):  
Suchismita Satapathy ◽  
Debesh Mishra
Keyword(s):  
Risk Factors ◽  
Occupational Safety ◽  
Agricultural Sector ◽  
Fuzzy Ahp ◽  
Health And Safety ◽  
Weather Condition ◽  
Agricultural Workers ◽  
Safety Measures ◽  
Agricultural Business ◽  
Working Procedure

Farming is an ancient traditional business, but still it is not a profitable business sector due to risk factor attached to it. It is a high-risk business. Although profit is lucrative, loss rate is also high. Occupational safety is a big issue of discussion for agricultural workers. The methods of working in field in extreme climate (heat, rain) totally depends on environmental factors. Due to rain and droughts, the loss of profit impacts on economic condition and market. Extreme weather condition, heavy workload during their working procedure gives them early old age, bone and muscle problems. So to attain better efficiency of performance and to improve productivity of the worldwide farmers in the agricultural sector it is essential to minimize risk factors. Agricultural workers need sufficient precaution and safety measures at the time of field and machine work to minimize risk factors. Still risk is major discussion topic in agricultural business. So, an effort is taken to prioritize safety majors by fuzzy ahp, and prediction are done by fuzzy logic modelling.

An integrated supplier selection approach incorporating decision maker’s risk attitude using ANN, AHP and TOPSIS methods

Kybernetes ◽  
2019 ◽  
Vol 49 (9) ◽  
pp. 2263-2284 ◽  
Author(s):  
Chunxia Yu ◽  
Zhiqin Zou ◽  
Yifan Shao ◽  
Fengli Zhang
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Fuzzy Ahp ◽  
Evaluation Criteria ◽  
Risk Attitude ◽  
Integrated Approach ◽  
Fuzzy Topsis ◽  
Ann Model ◽  
Content Type ◽  
Selection Approach

Purpose The purpose of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the artificial neural network (ANN), analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods. Design/methodology/approach In the proposed approach, the ANN model is used to classify decision maker’s risk attitude; the fuzzy AHP method is used to determine the relative weights of evaluation criteria; and the fuzzy TOPSIS method is used to evaluate ratings of suppliers. Finally, experiments are conducted to verify the feasibility and efficiency of the proposed integrated approach. Findings Experiments results show that the proposed integrated approach is effective and efficient to help decision makers to select suitable suppliers according to their risk attitudes. Originality/value The aim of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the ANN, AHP and TOPSIS methods. The decision maker’s risk attitude toward procurement transaction is originally considered in supplier selection process.

Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives

2010 ◽  
Vol 10 (2) ◽  
pp. 520-528 ◽  
Author(s):  
Fatemeh Torfi ◽  
Reza Zanjirani Farahani ◽  
Shabnam Rezapour
Keyword(s):  
Fuzzy Ahp ◽  
Evaluation Criteria ◽  
Fuzzy Topsis

scholarly journals Improving the environmental assessment of objects in the system of construction engineering

2020 ◽  
Vol 164 ◽  
pp. 01009 ◽  
Author(s):  
Vadim Bespalov ◽  
Ekaterina Kotlyarova
Keyword(s):  
Urban Environment ◽  
Urban Areas ◽  
Construction Projects ◽  
Evaluation Criteria ◽  
Environmental Safety ◽  
The State ◽  
Social Characteristics ◽  
Design Stage ◽  
Special Role ◽  
Environmental Criteria

The problem of maintaining the proper level of environmental safety in urban areas currently is not yet fully resolved. In this case, a special role at the level of impact on the environment is played by the industry of design, construction and operation of construction projects and urban facilities for various purposes. To solve this issue in our research, we identified and systematized the main characteristics of the groups, which largely determine the state of both individual objects of the urban environment and urban economy, and urbanized territories as a whole. As a result, groups of environmental, economic and social characteristics were obtained. In addition, we paid attention to the distribution of the importance of the evaluation criteria regarding the type of functional zone of the urbanized territory. Further in the article, we proposed to determine the environmental criteria based on the characteristics of the state of individual components of the surrounding urban environment and the characteristics of economic activity in the territory under consideration, causing qualitative changes in the state of this environment. Our research allows us to identify the dominant importance of the environmental criteria for a specific urbanized area and the need to take it into account at the initial design stage. At further stages, we intend to conduct scientific research to derive a dimensionless indicator based on the environmental criteria described above with the further development of an appropriate methodology, which will allow us to assess comprehensively the degree of construction projects and urban facilities for various purposes impact on the environmental safety of urbanized territories and develop appropriate measures for its optimization and reduction.

scholarly journals MAINTENANCE STRATEGY SELECTION USING AHP AND COPRAS UNDER FUZZY ENVIRONMENT / PRIEŽIŪROS STRATEGIJOS PARINKIMAS TAIKANT AHP IR COPRAS METODUS NEAPIBRĖŽTOSE SITUACIJOSE

2012 ◽  
Vol 16 (1) ◽  
pp. 85-104 ◽  
Author(s):  
Mohammad Majid Fouladgar ◽  
Abdolreza Yazdani-Chamzini ◽  
Ali Lashgari ◽  
Edmundas Kazimieras Zavadskas ◽  
Zenonas Turskis
Keyword(s):  
Decision Making ◽  
Asset Management ◽  
Fuzzy Theory ◽  
Fuzzy Ahp ◽  
Evaluation Criteria ◽  
Equipment Management ◽  
Strategy Selection ◽  
Maintenance Strategy ◽  
Heavy Equipment ◽  
Physical Assets

Asset management, as a systematic process of operating, maintaining, and upgrading physical assets, is an important element of decision-making in heavy equipment management and operation. Maintenance strategy selection plays a significant role in mining design. However, the nature of maintenance strategy selection is a complex multi-criteria decision making (MCDM) problem including both tangible and intangible parameters which are often in conflicting with each other. As well as when decision makers are uncertain in determining and defining the ratings and the weights of alternatives and criteria respectively, fuzzy theory provides an appropriate tool to handle the existing uncertainties. In this paper, a new fuzzy MCDM method based on the concepts of COPRAS (COmplex PRoportional ASsessment) and AHP (Analytical Hierarchy Process) was proposed to evaluate the feasible maintenance strategy. The linguistic terms are employed to assess the ratings and weights. Fuzzy AHP is utilized to calculate the weights of the evaluation criteria; then, the rankings of alternatives are computed based on fuzzy sets theory and COPRAS. A real world case study is presented to illustrate a potential application of the proposed model. Santrauka Turto valdymas, kaip sistemingas veiklos procesas materialiajam turtui palaikyti ir atnaujinti, yra svarbus sprendimų priėmimo sandas, reikalingas sunkiajai įrangai valdyti ir naudoti. Pasirinkti priežiūros strategiją yra ypač svarbu projektuojant kasybą. Tačiau techninės priežiūros strategijos parinkimo pobūdis yra sudėtingas daugiatikslio sprendimų priėmimo (MCDM) uždavinys, apimantis tiek materialius, tiek nematerialius aspektus, tarpusavyje dažnai prieštaraujančius. Kai sprendimų priėmėjui kyla neaiškumų nustatant ir apibrėžiant rodiklių vertes ir svorius, neraiškiųjų aibių teorija yra tinkama priemonė esamam neapibrėžtumui aprašyti. Straipsnyje pateikiamas naujas neraiškusis MCDM būdas, pagrįstas COPRAS (kompleksinio proporcingo projektų įvertinimo) ir AHP (analitinio hierarchijų proceso) metodais, tikslingoms nekilnojamojo turto palaikymo strategijoms įvertinti. Rodiklių vertės ir svoriai yra apibrėžti lingvistinėmis sąvokomis. Neraiškusis AHP taikomas vertinimo rodiklių svoriams apskaičiuoti. Paskui alternatyvų rangai nustatyti taikant neraiškiųjų aibių teoriją ir COPRAS metodą. Naujai pasiūlytas modelis pritaikytas realiam uždaviniui spręsti.

Application of Fuzzy AHP to the Comparison and Selection of Cement Concrete Pavement Overlaying Schemes

2011 ◽  
Vol 243-249 ◽  
pp. 4302-4306
Author(s):  
Ji Feng Liang ◽  
Xie Dong Zhang ◽  
Lei Wu
Keyword(s):  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Comprehensive Analysis ◽  
Concrete Pavement ◽  
Cement Concrete ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Cement Concrete Pavement ◽  
Hierarchy Process ◽  
Selection Of

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.

scholarly journals Resolution of the Min-Max Optimization Problem Applied in the Agricultural Sector with the Estimation of Yields by Nonparametric Statistical Approaches

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Ghizlane Kouaiba ◽  
Driss Mentagui
Keyword(s):  
Default Risk ◽  
Optimization Problem ◽  
Agricultural Sector ◽  
Vector Optimization Problem ◽  
Agricultural Planning ◽  
Depth Study ◽  
Default Risks ◽  
Ultimate Objective ◽  
Nonparametric Statistical

The ultimate objective of the problem under study is to apply the min-max tool, thus making it possible to optimize the default risks linked to several areas: the agricultural sector, for example, which requires the optimization of the default risk using the following elements: silage crops, annual consumption requirements, and crops produced for a given year. To minimize the default risk in the future, we start, in the first step, by forecasting the total budget of agriculture investment for the next 20 years, then distribute this budget efficiently between the irrigation and construction of silos. To do this, Bangladesh was chosen as an empirical case study given the availability of its data on the FAO website; it is considered a large agricultural country in South Asia. In this article, we give a detailed and original in-depth study of the agricultural planning model through a calculating algorithm suggested to be coded on the R software thereafter. Our approach is based on an original statistical modeling using nonparametric statistics and considering an example of a simulation involving agricultural data from the country of Bangladesh. We also consider a new pollution model, which leads to a vector optimization problem. Graphs illustrate our quantitative analysis.

scholarly journals "Green" Economy: Realities and Prospects in Agriculture in the Republic of Kazakhstan

2021 ◽  
pp. 37-43
Author(s):  
Zh. S. Bulkhairova ◽  
◽  
A. O. Alieva ◽  
◽  
◽  
...  
Keyword(s):  
Rural Areas ◽  
Agricultural Sector ◽  
Natural Capital ◽  
Green Economy ◽  
Management Support ◽  
Agricultural Enterprises ◽  
Agriculture Sector ◽  
Public Investments ◽  
Environmental Criteria ◽  
The Republic

The issues of "green" economy as a paradigm for the development of agricultural sector of the country's economy is analyzed. The main elements of the transition to ecosystems are summarized: price regulation in accordance with the basic principles of sustainable development of rural areas; reforming and developing an "ecological" tax system; sustainable public investments and their increase in natural capital; socially oriented strategies. The ways of implementing the concept of "green" economy: general economic and technological are shown. The main objectives of its development as significantly reducing the adverse impact on the environment and risks of environmental degradation are determined, as well as the possibilities and prerequisites for expanding its sphere in agriculture of the republic. It is noted that several projects have already been implemented in Kazakhstan that fully meet environmental criteria. It is indicated that in rural areas there are necessary conditions for production process of organic products. Data on organic producers of the Republic of Kazakhstan and other types of operators in the world are presented. As a result of the study, it was concluded that the ultimate goal of green economy is to create living conditions that optimize the interaction of its financial, environmental and social components, the relationship with the most advanced agricultural enterprises, the development of environmental management support programs that stimulate the formation of innovative networks and cluster structures in rural areas. The main principle of "green" economy is the expansion of organic agriculture sector, introduction of certificates for environmentally friendly products and increase in their exports.

scholarly journals An Integrated Interval type 2 fuzzy AHP and COPRAS-G methodologies for supplier selection in the era of Industry 4.0

2021 ◽  
Author(s):  
Sema Kayapinar Kaya ◽  
Ejder Aycin
Keyword(s):  
Supply Chain ◽  
Industry 4.0 ◽  
Supplier Selection ◽  
Business Models ◽  
Selection Process ◽  
Fuzzy Ahp ◽  
Evaluation Criteria ◽  
Dynamic Structure ◽  
Interval Type

Abstract Supply chain has a very extensive and dynamic structure that incorporates new business models, new customer expectations, market searches and technological developments. With the introduction of Industry 4.0 into supply chain, a rapid and intensive process of digitalization begin to transform every step of supply chain. Supply chain selection is one of the essential decisions in reducing the supply chain cost and improving overall quality of product and services. With the implication of digital technologies and Industry 4.0 on supply chain, the supplier selection process has been significantly changed during the recent years. Companies are willing to need new requirements for their own suppliers in accordance with Industry 4.0 implementations and technologies. This paper aims to identify key criteria to Industry 4.0 technologies and evaluate them to select the right suppliers selection in the era of Industry 4.0 Within the scope of this study attempts to develop an integrated Interval Type 2 Fuzzy AHP and GOPRAS-G methodology to select the appropriate supplier in the face of Industry 4.0 implementations. For this purpose, Interval Type 2 Fuzzy AHP was employed to weight the supplier evaluation criteria and then, Grey COPRAS method has been applied to prioritize suppliers. This paper is to provide practitioners and researchers with insight into how Industry 4.0 strategies influence on supplier selection.

Sign in / Sign up

Export Citation Format

Share Document