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Journal Article

Application of ahp-fuzzy method in the appraisal of the risk of real estate investment

TL;DR: In analyzing many kinds of risk elements that appear in the process of real estate invest ment, the index system and the index weight of the assessment are determined by applying analytic hierarchy process method.
Abstract: In analyzing many kinds of risk elements that appear in the process of real estate invest ment, the index system and the index weight of the assessment are determined by applying analytic hierarchy process method. The fuzzy comprehensive evaluation system for risk of real estate investment has been established by means of fuzzy mathematics. A lot of fuzzy problems in appraisal of the risk of real estate investment is solved by applying mathematic method.
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Journal ArticleDOI
TL;DR: In this paper, a risk evaluation method for residential real estate projects based on fuzzy set theory which uses linguistic variables and respective fuzzy numbers to evaluate the factors is presented, which allows experts and engineers to express their opinions on project risk evaluation in linguistic variables rather than crisp values.

35 citations


Cites background from "Application of ahp-fuzzy method in ..."

  • ...A mapping on the Universe X is given below: : [0,1] A u X → ( ) A x u x So A u confirms a fuzzy subset A on the Universe X, A u is the membership of A , and ( ) A u x is the grade of membership....

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Proceedings ArticleDOI
23 May 2009
TL;DR: F fuzzy comprehensive evaluation on the investment risk of real estate based on BP neural network is made, providing basis for the prevention of risk on real estate.
Abstract: In the practice of risk evaluation on real estate, there are many events' degree of risk can not be accurately described, the application of fuzzy comprehensive evaluation method can reflect the risk degree of every element in detail. In addition, the combination use of BP neural network (ANN) and expert system (Es) method can determine impact extent of the risk factors on the real estate risk and the weight of every risk factor relative to the real estate risk. Therefore, this paper makes fuzzy comprehensive evaluation on the investment risk of real estate based on BP neural network, providing basis for the prevention of risk on real estate.

5 citations

Journal ArticleDOI
TL;DR: The proposed model bears the characteristics of most of the relevant existing fuzzy soft set-like models collectively and fulfills their limitations.
Abstract: PurposeIn this article, the elementary notions and aggregation operations of single-valued neutrosophic parameterized complex fuzzy hypersoft set (sv-NPCFHSS) are characterized initially. Then by using matrix version of sv-NPCFHSS, a decision-support system is constructed for the evaluation of real estate residential projects by observing various risk factors.Design/methodology/approachTwo approaches are utilized in this research: set-theoretic approach and algorithmic approach. The first approach is used to investigate the notions of sv-NPCFHSS and its some aggregations whereas the second approach is used to propose an algorithm for designing its decision-support system by using the aggregation operations like reduced fuzzy matrix, decision matrix, etc. of sv-NPCFHSS. The adopted algorithm is validated in real estate scenario for the selection of residential project by observing various risk factors to avoid any expected investment loss.FindingsThe proposed approach is more flexible and reliable as it copes with the shortcomings of literature on sv-neutrosophic set, sv-neutrosophic soft set and other fuzzy soft set-like structures by considering hypersoft setting, complex setting and neutrosophic setting collectively.Research limitations/implicationsIt has limitations for complex intuitionistic fuzzy hypersoft set, complex neutrosophic hypersoft set and other complex neutrosophic hypersoft set-like models.Practical implicationsThe scope of this research may cover a wide range of applications in several fields of mathematical sciences like artificial intelligence, optimization, MCDM, theoretical computer science, soft computing, mathematical statistics etc.Originality/valueThe proposed model bears the characteristics of most of the relevant existing fuzzy soft set-like models collectively and fulfills their limitations.

3 citations

Proceedings ArticleDOI
01 Jun 2014
TL;DR: A Fuzzy Analytic Hierarchy Process (FAHP) is designed to evaluate IT Outsourcing project's risk and is illustrated a scientific and practicable method for evaluating problems with multi-index and uncertainty.
Abstract: IT Outsourcing is the advanced form of modern businesses. The evaluation risk of IT Outsourcing increasingly becomes the key points of risk management in IT Outsourcing. A Fuzzy Analytic Hierarchy Process (FAHP) is designed to evaluate IT Outsourcing project's risk. For FAHP, the uncertainties in the process of expert consultative method are described by fuzzy variables, and a fuzzy judgment matrix is built. The FAHP is employed to evaluate the risk of IT Outsourcing project. In the example, the FAHP is illustrated a scientific and practicable method for evaluating problems with multi-index and uncertainty.

1 citations


Cites methods from "Application of ahp-fuzzy method in ..."

  • ...A Fuzzy Analytic Hierarchy Process (FAHP) is designed to evaluate IT Outsourcing project’s risk [8-10]....

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