Real Property Value Prediction Capability Using Fuzzy Logic and ANFIS

2021 ◽  
Author(s):  
Ankita Kamire ◽  
Nitin Chaphalkar ◽  
Sayali Sandbhor
2013 ◽  
Vol 62 (1) ◽  
pp. 67-84
Author(s):  
Anna Trembecka

Abstract Amendment to the Act on special rules of preparation and implementation of investment in public roads resulted in an accelerated mode of acquisition of land for the development of roads. The decision to authorize the execution of road investment issued on its basis has several effects, i.e. determines the location of a road, approves surveying division, approves construction design and also results in acquisition of a real property by virtue of law by the State Treasury or local government unit, among others. The conducted study revealed that over 3 years, in this mode, the city of Krakow has acquired 31 hectares of land intended for the implementation of road investments. Compensation is determined in separate proceedings based on an appraisal study estimating property value, often at a distant time after the loss of land by the owner. One reason for the lengthy compensation proceedings is challenging the proposed amount of compensation, unregulated legal status of the property as well as imprecise legislation. It is important to properly develop geodetic and legal documentation which accompanies the application for issuance of the decision and is also used in compensation proceedings.


2019 ◽  
Vol 37 (5) ◽  
pp. 597-609 ◽  
Author(s):  
Lucy Cradduck ◽  
Clive M.J. Warren

Purpose The purpose of this paper is to add to the academic discourse by developing a methodology by which a block of land’s goodwill, or lack of goodwill, can be factored into its valuation. Design/methodology/approach The research was undertaken utilising a mixed-methods approach, which involved doctrinal research, together with qualitative and quantitative analysis of the impact of neighbourhood disputes on real property value. The disputes engaged with for exemplar purposes were those of tree disputes resolved by QCAT order. Findings A dispute can adversely affect a property’s goodwill, which can impact both its saleability and value. Research limitations/implications Due to the sensitive nature of the valuation process and the potential negative impact that any identification of a property may have on its value, it was not appropriate to identify any properties specifically or the area in which these are located. Further, as regards the available details of disputes, the authors were only able to engage with disputes for which an order existed. Practical implications The methodology developed can be applied to other real property interests, for example, lots in freehold retirement village complexes or those within other strata title schemes of either residential or commercial use. Social implications As the number of neighbourhood disputes throughout Australia grows, addressing the impact that a dispute has for property value is a concern relevant to all valuers and owners. Originality/value The authors add to the academic discourse by developing a methodology by which a property’s goodwill, or lack of goodwill, can be factored into its valuation.


2017 ◽  
Vol 10 (1) ◽  
pp. 120-126
Author(s):  
Chittaranjan Mangale ◽  
Shyam Meena ◽  
Preetesh Purohit

Stock market is very versatile and fluctuates with time. For the same way it becomes difficult to predict movement of the stock, there are various approaches and tools through which the price of the stock is determined by the past patterns. Mostly the approaches are in terms of fundamental approach and technical approach. For the long-term valuation fundamental approach is used. Every stock is having its own value that does not depend on the price of the stock that is known as Intrinsic value. The proposed model works through phases of data collection, feature processing, fuzzy logic mapping and stock value calculation. Fuzzy logic is used to map the quality as well as quantity valuation factors. The IF THEN rules are applied on the linguistic variable. The fuzzy model outcomes the stock value which is used to provide stock worth. The stock value is calculated by Dividend discount model. Accuracy of the system is 0.77. The results offer the backbone for the value and not the price.


Author(s):  
Jozef M. Zurada ◽  
Alan S. Levitan ◽  
Jian Guan

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">Lack of precision is common in property value assessment. Recently non-conventional methods, such as neural networks based methods, have been introduced in property value assessment as an attempt to better address this lack of precision and uncertainty. Although fuzzy logic has been suggested as another possible solution, no other artificial intelligence methods have been applied to real estate value assessment other than neural network based methods. This paper presents the results of using two new non-conventional methods, fuzzy logic and memory-based reasoning, in evaluating residential property values for a real data set. The paper compares the results with those obtained using neural networks and multiple regression. Methods of feature reduction, such as principal component analysis and variable selection, have also been used for possible improvement of the final results.<span style="mso-spacerun: yes;">&nbsp; </span>The results indicate that no single one of the new methods is consistently superior for the given data set.</span></span></p>


2012 ◽  
Author(s):  
Thomas M. Crawford ◽  
Justin Fine ◽  
Donald Homa
Keyword(s):  

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