A rule extraction based approach in predicting derivative use for financial risk hedging by construction companies

Chen, Jieh Haur; Yang, Liren; Su, Mu-Chun; Lin, Jia-Zheng

doi:10.1016/j.eswa.2010.02.135

Cited by 24 publications

(13 citation statements)

References 35 publications

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“…Li et al 169 presented fuzzy logic-based approach for identifying the risk importance of human error; Chen et al 170 also investigated a rule extraction based approach in predicting derivative use for financial risk hedging by construction companies; Markowski et al 8 provided general analysis of uncertainty aspects in process safety analysis.…”

Section: Fig3 a Fuzzy Rule-based Risk Assessment Frameworkmentioning

confidence: 99%

Computing with Words in Risk Assessment

Li¹,

Martínez²,

Wang³

et al. 2010

IJCIS

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This paper presents a comprehensive overview of currently known applications of computing with words (CWW) in risk assessment. It is largely grouped into the following 5 categories: (1) fuzzy number based risk assessment; (2) fuzzy rule-based risk assessment; (3) fuzzy extension of typical probabilistic risk assessment; (4) ordinal linguistic approach for risk assessment; and (5) miscellaneous applications. In addition, the role of CWW within the broad area of risk assessment is briefly characterized.

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Section: Fig3 a Fuzzy Rule-based Risk Assessment Frameworkmentioning

confidence: 99%

Computing with Words in Risk Assessment

Li¹,

Martínez²,

Wang³

et al. 2010

IJCIS

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“…For example, Chen et al (2010) attempted to develop an automatic expert model using an approach based on rule extraction that provides practitioners with a prediction tool for the hedging of financial risks through the use of derivatives. Sun et al (2008) used fuzzy analytical hierarchy process (AHP) for the risk evaluation of residential real estate projects.…”

Section: Literature Reviewmentioning

confidence: 99%

Maximizing the Value of Residential Projects Using Fuzzy Rule Based Linear Programming

Üstündağ

Çevikcan

2016

Journal of Civil Engineering and Management

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Abstract. Optimizing the allocation of residence types has a great impact on efficient management of resources for construction projects. Hence, determining appropriate allocation of residence types provides effective financial activities, especially for large-scaled residential projects. Subjectivity and vagueness in the determination of price per m 2 for residences requires the consideration of fuzzy logic, since the modeling of imprecise and qualitative knowledge, as well as the transmission and handling of uncertainty at various stages are possible through the use of fuzzy sets. This study proposes an approach that integrates Fuzzy Rule Based System (FRBS) with mathematical programming. In the proposed hybrid approach, FRBS is used to set price per square meter and it provides input for Net Present Value (NPV) formulation. Mixed integer linear programming (MILP) model is developed for the maximization of (NPV) of the project. The proposed model is applied to a residential project in Istanbul to demonstrate its performance. The optimal NPVs and allocation results for four types of residences are analyzed depending on the different factor levels of total construction area, sales rate and bank loan interest rate. The results indicate that the optimal NPV and allocation of residences are significantly influenced by the factor of construction area.

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“…The current evaluation methods include analytical hierarchy process (AHP) [26][27][28], neural network [29], fuzzy mathematics [27,30,31], multi-criteria decision analysis [32,33], fault tree analysis [34], visco-elastic model [35], transfer function [36], finite element [37], etc. Most of these approaches tackle a single aspect of sustainable development.…”

Section: Literature Reviewmentioning

confidence: 99%

Comprehensive Sustainability Evaluation of High-Speed Railway (HSR) Construction Projects Based on Unascertained Measure and Analytic Hierarchy Process

2018

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This paper aims to evaluate the sustainability of high-speed railway (HSR) construction projects in a comprehensive manner. To this end, the author established an index system, involving 4 primary indices, 9 secondary indices, and 32 tertiary indices. The analytic hierarchy process (AHP) and the unascertained measure were introduced to calculate the weights of these indices. Then, the index system was applied to evaluate the sustainability of the China's Harbin-Dalian Passenger Dedicated Line (PDL). The results show that the Harbin-Dalian PDL project achieved good results in terms of process, economic benefit, impact, and sustainability, and will bring long-term benefits in the fields of tourism, economy, and transport capacity, as well as many other fields. In spite of its good overall sustainability, the project needs to further increase its economic benefits and reduce its negative environmental impact. For this purpose, it is necessary to adopt the management mode of "separation between network and transportation" and apply noise prevention measures like noise barriers, tunnels, and overhead viaducts. This research lays a solid basis for the sustainability evaluation of HSR construction projects, and simplifies the modelling process for designers of HSR.

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A rule extraction based approach in predicting derivative use for financial risk hedging by construction companies

Cited by 24 publications

References 35 publications

Computing with Words in Risk Assessment

Computing with Words in Risk Assessment

Maximizing the Value of Residential Projects Using Fuzzy Rule Based Linear Programming

Comprehensive Sustainability Evaluation of High-Speed Railway (HSR) Construction Projects Based on Unascertained Measure and Analytic Hierarchy Process

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