Fuzzy logic method of valuation supporting sustainable development of the agricultural land market

Abstract

This article proposes the possibility of applying fuzzy logic theory to perform the tasks of determining the market value of agricultural lands. These tasks are of a multi-criteria character, as multiple factors are taken into consideration during the land value valuation process. The market value of agricultural land plots, calculated using fuzzy logic methods, can provide a basis for further use in the processes that are directly related to their turnover, that is, during auctioning, setting of a land tax, determining of the value of pawn in the land bank. Methodic approach to the determination of the market value of agricultural lands with the application of the methods of fuzzy logic and the package Fuzzy Logic Toolbox of the computing system Matlab is universal. It can be used for assessment of the value of a land plot with any number of indices, having no crisp mathematic model. The proposed method is particularly useful for countries where the agricultural real estate market is still in its early stages of development and will contribute to making it more transparent and thus it can be a significant tool supporting the sustainable development of the agricultural real estate market. Agricultural land market is a vital ingredient of the system for sustainable development of rural areas.

Agricultural sustainability assessment framework integrating sustainable development goals and interlinked priorities of environmental, climate and agriculture policies

“…There is plenty of sustainability assessment tools and various frameworks advanced to back up policy‐making in achieving agricultural sustainability (Kasem & Thapa, 2012; Marchand et al, 2014; Talukder, Hipel, & van Loon, 2018; Zahm, Viaux, Vilain, Girardin, & Mouchet, 2008; Zrobek, Kovalyshyn, Renigier‐Biłozor, Kovalyshyn, & Kovalyshyn, 2020). However, there is the lack of holistic indicators system that allows assessment of agricultural sustainability in different countries.…”

Evaluating the green growth indicators to achieve sustainable development: A novel extended interval‐valued intuitionistic fuzzy‐combined compromise solution approach

“…However, although in the literature, some efforts used different methods to evaluate green growth efficiency and indicators. However, a few previous studies employed the Multiple Criteria Decision Making (MCDM) and fuzzy sets theory to assess green growth indicators (Su, Zhang, Zhang, & Streimikiene, 2020; Zeng, Hu, Balezentis, & Streimikiene, 2020; Zrobek, Kovalyshyn, Renigier‐Biłozor, Kovalyshyn, & Kovalyshyn, 2020). Particularly, there is no study in the current body of the literature regarding the application of fuzzy sets and MCDM methods in the field of green growth.…”

Application of Multi-Criteria Decision-Making Analysis to Rural Spatial Sustainability Evaluation: A Systematic Review

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