Modelling group processes and effort estimation in project management using the Choquet integral: An MCDM approach

Bonetti, Alessio; Bortot, Silvia; Fedrizzi, Mario; Pereira, Ricardo Alberto Marques; Molinari, Andrea

doi:10.1016/j.eswa.2012.05.066

Cited by 25 publications

(11 citation statements)

References 43 publications

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“…Choquet integral, originally developed by Choquet (1953), provides a useful tool to model the inter-dependence or correlation among attributes (Angilella et al 2015;Ashayeri et al 2012;Belles-Sampera et al 2014;Bonetti et al 2010;Xu 2010;Xu and Xia 2011). However, the Choquet integral can only reflect the interaction between two adjacent coalitions and it cannot consider both the importance of elements and the ordered positions simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Some new Shapley 2-tuple linguistic Choquet aggregation operators and their applications to multiple attribute group decision making

Liu

Wang

2015

Soft Comput

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In this paper, we investigate the multiple attribute group decision making (MAGDM) problems with 2-tuple linguistic information. Firstly, motivated by the ideas of Choquet integral and Shapley index, we propose three 2-tuple linguistic aggregation operators called Shapley 2-tuple linguistic Choquet averaging operator, Shapley 2-tuple linguistic Choquet geometric operator and generalized Shapley 2-tuple linguistic Choquet averaging operator. Then we discuss some properties of these operators, such as idempotency, monotonicity, boundary and commutativity. Secondly, if the information about the weights of decision makers (DMs) and attributes is incompletely known, we build two models to determine the optimal fuzzy measures on DM set and attribute set, respectively. Furthermore, we develop a new method for multiple attribute group decision making under 2-tuple linguistic environment based on the proposed operators. Finally, we apply the developed MAGDM method to select the most desirable emergency alternative and the validity of the developed method is verified by comparing the evaluation results with those obtained from the existing 2-tuple correlated aggregation operators.Keywords Multiple attribute group decision making (MAGDM) · 2-tuple linguistic · Choquet integral · Shapley

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Section: Introductionmentioning

confidence: 99%

Some new Shapley 2-tuple linguistic Choquet aggregation operators and their applications to multiple attribute group decision making

Liu

Wang

2015

Soft Comput

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“…Use of own historical data is consequently crucial if one cannot be sure that the estimation model's core relationships are based on similar project contexts [72][73][74][75][76][77][78][79][80][81][82][83][84][85][86][87][88].…”

Section: Methodology For Estimation With Machine Learningmentioning

confidence: 99%

Organizational Strategies and Social Interaction Influence in Software Development Effort Estimation

Rao¹,

Seetharamaiah²

2014

IOSRJCE

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“…Several research works in software development effort estimation have cited the Chaos report (De Araújo et al, 2012;Bonneti et al, 2012;De Araújo et al, 2012b;LagerstrÖm et al, 2012;Moløkken-Østvold & Jørgensen, 2003). This report found that more than half of software projects worldwide (around 61%) conducted between 2004 and 2012 were delivered with delay, were over budget and many were not even finished; just 39 percent were classified as successful.…”

Section: Introductionmentioning

confidence: 99%

Applying Absolute Residuals as Evaluation Criterion for Estimating the Development Time of Software Projects by Means of a Neuro-Fuzzy Approach

García-Díaz

Verduzo-Ramirez

Garcia-Virgen

et al. 2016

Journal of Information Systems Engineering & Management

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In the software development field, software practitioners expend between 30% and 40% more effort than is predicted. Accordingly, researchers have proposed new models for estimating the development effort such that the estimations of these models are close to actual ones. In this study, an application based on a new neurofuzzy system (NFS) is analyzed. The NFS accuracy was compared to that of a statistical multiple linear regression (MLR) model. The criterion for evaluating the accuracy of estimation models has mainly been the Magnitude of Relative Error (MRE), however, it was recently found that MRE is asymmetric, and the use of Absolute Residuals (AR) has been proposed, therefore, in this study, the accuracy results of the NFS and MLR were based on AR. After a statistical paired t-test was performed, results showed that accuracy of the New-NFS is statistically better than that of the MLR at the 99% confidence level. It can be concluded that a new-NFS could be used for predicting the effort of software development projects when they have been individually developed on a disciplined process.

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Modelling group processes and effort estimation in project management using the Choquet integral: An MCDM approach

Cited by 25 publications

References 43 publications

Some new Shapley 2-tuple linguistic Choquet aggregation operators and their applications to multiple attribute group decision making

Some new Shapley 2-tuple linguistic Choquet aggregation operators and their applications to multiple attribute group decision making

Organizational Strategies and Social Interaction Influence in Software Development Effort Estimation

Applying Absolute Residuals as Evaluation Criterion for Estimating the Development Time of Software Projects by Means of a Neuro-Fuzzy Approach

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