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Non-Conventional Approaches To Property Value Assessment

Jozef M. Zurada, Alan S. Levitan, Jian Guan
2011 Journal of Applied Business Research  
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.  ...  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.  ...  The first is a fuzzy logic method; the second is a memory-based reasoning method; the third is a neural networks method; and the last is a multiple linear regression method.  ... 
doi:10.19030/jabr.v22i3.1421 fatcat:cq2tfjckxzfbddsz5aq2ftinb4

Soft Computing: Coping with Complexity

Enrique H. Ruspini
2010 International Journal of Computational Intelligence Systems  
for the introduction of soft-computing methods was the need to cope with the complexity of existing mathematical and computational models of real-world systems.  ...  While it has been correctly noted that the expression "soft computing" is employed in a variety of senses and characterizations to designate a wide array of technologies, we argue that the original motivation  ...  Notwithstanding this historical fact it can be argued that neural networks and evolutionary computation/genetic algorithm-based methods are like fuzzy logic, successful modeling and analysis techniques  ... 
doi:10.2991/ijcis.2010.3.2.6 fatcat:woqxzan7wnb3dfbcplt7f2qcpy

Approximate reasoning with fuzzy rule interpolation: background and recent advances

Fangyi Li, Changjing Shang, Ying Li, Jing Yang, Qiang Shen
2021 Artificial Intelligence Review  
Fuzzy rule interpolation (FRI) supports such reasoning with sparse rule bases where certain observations may not match any existing fuzzy rules, through manipulation of rules that bear similarity with  ...  Furthermore, commonly adopted criteria for FRI algorithm evaluation are outlined, and recent developments on weighted FRI methods are presented in a unified pseudo-code form, easing their understanding  ...  as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.  ... 
doi:10.1007/s10462-021-10005-3 fatcat:mfj2zm2m5vgapi2fyqx5kxxsou

Multi Objective Optimization of Flux Cored Arc Weld Parameters Using Hybrid Grey - Fuzzy Technique

M Satheesh, JER Dhas
2014 The Journal of Engineering Research  
This approach converts the complex multiple objectives into a single grey-fuzzy reasoning grade. Based on the grey-fuzzy reasoning grade, optimum parameters are identified.  ...  In the present work, an attempt has been made to use the grey-based fuzzy logic method to solve correlated multiple response optimization problems in the field of flux cored arc welding.  ...  Based on the above discussion, the larger the fuzzy reasoning grade, the better the multiple process responses.  ... 
doi:10.24200/tjer.vol11iss1pp23-33 fatcat:6b6tjxedtbgdndyqkep3nsrlle

A fuzzy programming method for deriving priorities in the analytic hierarchy process

L Mikhailov
2000 Journal of the Operational Research Society  
Least squares methods The Direct Least Squares Method (DLSM), proposed by Chu et al’ is based on the assumption that the elements of the priority vector w= (w,, Ww w,)' should best satisfy the property  ...  The Logarithmic Least Squares Method (LLSM) of Crawford and Williams’ makes use of the multiplicative properties of the pairwise comparison matrices and applies an optimisa- tion procedure to minimise  ... 
doi:10.1057/palgrave.jors.2600899 fatcat:vryvq4y3cnc47mr4uvlfoqgocm

A Dual Hesitant Fuzzy Multigranulation Rough Set over Two-Universe Model for Medical Diagnoses

Chao Zhang, Deyu Li, Yan Yan
2015 Computational and Mathematical Methods in Medicine  
Thus, to solve the problems of uncertain data analysis and group decision making in disease diagnoses, we propose a new rough set model called dual hesitant fuzzy multigranulation rough set over two universes  ...  by combining the dual hesitant fuzzy set and multigranulation rough set theories.  ...  rough set based on "seeking common ground while eliminating differences" (SCED) strategy, were introduced [27] .  ... 
doi:10.1155/2015/292710 pmid:26858772 pmcid:PMC4691518 fatcat:qcdpcjj2c5drbkrpuxqvzo7vki


Sukran YALPIR, Gulgun OZKAN
2018 International Journal of Strategic Property Management  
The memberships were established with poll analysis and were rule based on expert knowledge. The model structure was formed by using the Mamdani structure in the MATLAB fuzzy toolbox.  ...  There has been an increasing concern on the development of alternative approaches to overcome the problems and deficiencies that occur during the application of real-estate valuation methods.  ...  Instead of thinking based on definite reasons, Fuzzy Logic is thinking based on approximate values. The fuzzy inference process is performed with the rules described within the text expressions.  ... 
doi:10.3846/ijspm.2018.442 fatcat:m63nxcizrjcghozcz6kghd2fgq

Advanced of Mathematics-Statistics Methods to Radar Calibration for Rainfall Estimation; A Review

Ali Nikahd
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
Regression methods are simple to use and data mining based on Artificial Intelligence is very precise.  ...  Since statistical methods are based on mathematics, they offer more precise results and easy interpretation with lower data detail.  ...  It is based on reasoning and the result is approximated.  ... 
doi:10.17762/ijritcc2321-8169.150121 fatcat:erywga3jtjetzhp2g4oo547oba

Progressive methods in multiple criteria decision analysis

Patrick Meyer
2008 4OR  
The thesis is written in English and is available from the author upon request. The work is situated in the field of Multiple Criteria Decision Analysis (MCDA).  ...  It mostly deals with what we call progressive methods, i.e., iterative procedures presenting partial conclusions to the decision maker (DM) that can be refined at further steps of the analysis.  ...  The use of a progressive decision analysis method can be motivated by (at least) three reasons.  ... 
doi:10.1007/s10288-008-0069-5 fatcat:okfa3aubx5covkquyafjgqxpwa

Approximate symbolic pattern matching for protein sequence data

Bill C.H. Chang, Saman K. Halgamuge
2003 International Journal of Approximate Reasoning  
Learning of the characteristics and properties of an unknown protein is much easier if its likely functional properties can be predicted by finding the substrings already known from other protein sequences  ...  The sequence pattern search algorithm proposed in this paper searches for similar matches between a pattern and a sequence by using fuzzy logic and calculates the degree of similarity from a sequence inference  ...  Event content fuzzy membership functions An event can be fuzzified based on its content, or character(s)/symbols(s) presented.  ... 
doi:10.1016/s0888-613x(02)00082-8 fatcat:s355lxd5d5gtxh34bhrlm6pq2q

On the interpretation and identification of dynamic Takagi-Sugeno fuzzy models

T.A. Johansen, R. Shorten, R. Murray-Smith
2000 IEEE transactions on fuzzy systems  
Ideally, it is desirable that a dynamic Takagi-Sugeno fuzzy model should give accurate global nonlinear prediction and at the same time that its local models are close approximations to the local linearizations  ...  While these objectives are often conflicting, it is shown that there exists a close relationship between dynamic Takagi-Sugeno fuzzy models and dynamic linearization when using affine local model structures  ...  The common least squares identification method will minimize the least squares criterion (60) where is the length of the data sequence.  ... 
doi:10.1109/91.855918 fatcat:jqnma2ocu5darkvhevhvtpn3re

A comparison of techniques for developing predictive models of software metrics

Andrew R. Gray, Stephen G. MacDonell
1997 Information and Software Technology  
, fuzzy logic models, case-based reasoning systems, and regression trees.  ...  There has also been an increasing level of sophistication in the regression-based techniques used, including robust regression methods, factor analysis, and more effective validation procedures.  ...  CASE-BASED REASONING Case-based reasoning is a method of storing observations, such as data about a project's specifications and the effort required to implement it, and then when faced with a new observation  ... 
doi:10.1016/s0950-5849(96)00006-7 fatcat:sxnuwrmnd5hfbnqru7cahfxp7m

Fuzzy Logic Application for House Price Prediction

Abdul G. Sarip, Muhammad Burhan Hafez
2015 International Journal of Property Sciences  
A new structured model for house prices prediction based on Fuzzy Logic is proposed.  ...  Various methods have been used previously to estimate housing sales prices to model the underlying non-linearity relation between housing attributes and the price of property.  ...  Fuzzy Sets A set is a collection of things that belong to a specific group. It is specifying a common property among "things" and then gathers all the "things" that have this common property.  ... 
doi:10.22452/ijps.vol5no1.3 fatcat:tbqcl57qkzfgvcgii3ccx7p2zq

Rough intervals—enhancing intervals for qualitative modeling of technical systems

M. Rebolledo
2006 Artificial Intelligence  
The approach introduced in this paper incorporates vague and uncertain information based on principles of the Rough Set Theory as a way of enhancing the information contents in interval-based qualitative  ...  The success of model-based industrial applications generally depends on how exactly models reproduce the behavior of the real system that they represent.  ...  Qualitative reasoning A way of dealing with system complexity is describing system behavior using rules or tables, based on experience and common sense.  ... 
doi:10.1016/j.artint.2006.02.004 fatcat:zvplnuzcmbfrjalaeiscvxgwru


Gang KOU, Daji ERGU, Yang CHEN, Changsheng LIN
2016 Technological and Economic Development of Economy  
It is hoped that this paper will provide a comprehensive literature review on PCM, and act as informative summary of the main developments of the PCM for the researchers for their future research.  ...  We attempt to analyze and classify these literatures so as to find the current hot research topics and research techniques in the PCM, and point out the future directions on the PCM.  ...  Wang, Chen (2014) focused on the consistency prioritization and completion of interval fuzzy preference relations, then a geometric mean based uncertainty ratio, a logarithmic least squares based method  ... 
doi:10.3846/20294913.2016.1210694 fatcat:ewjoq62x3jcpbjhbbk4fcs2imm
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