Fuzzy Cognitive Map to model project management problems (original) (raw)
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A Systems Approach to Project Stakeholder Management: Fuzzy Cognitive Map Modeling
Project Management Journal, 2019
Projects that make effective use of project stakeholder management (PSM) tend to run smoothly and be successful because stakeholders understand and agree with the project approaches and outcomes. Projects with ineffective stakeholder management, on the other hand, frequently experience delays and cost overruns or may even be terminated. To date, project teams have limited methodological support for PSM: Existing methods are dominantly static and internally focused, making it difficult to manage so-called external stakeholders, who are not under the authority of the project manager. This work aims to improve PSM practice by closing the methodological gap. We developed a novel decision-support methodology, based on Fuzzy Cognitive Map (FCM) modeling that leverages stakeholders’ public comments to anticipate the project’s impacts on them and to make conflicts between stakeholder interests and project objectives transparent. A demonstration of the method is provided using a single case—...
Advances in engineering software, 2001
The construction industry is plagued by risk, and poor performance has often been the result. Although risk management techniques have been applied, the lack of a formalised approach has produced inconsistent results. In this paper, a hierarchical risk breakdown structure is described to represent a formal model for qualitative risk assessment. The relationships between risk factors, risks, and their consequences are represented on case and effect diagrams. Risk descriptions and their consequences can be de®ned using descriptive linguistic variables. Using fuzzy approximation and composition, the relationships between risk sources and the consequences on project performance measures can be identi®ed and quanti®ed consistently. q
The Indian construction industry is growing each day with a global recognition. The project manager is responsible to monitor the quality, safety and time management issues through there are specialised personnel for the respective departments. There has been an increase research in quality, safety & time management issues faced in the Indian construction industry. The reason for the above studied by researchers and suggested possible remedial measures. Today, with globalization and urbanization, framework development undertakings are completed everywhere throughout the world. Each project will bring certain components of issues. These issues are to be managed in an efficient way so as to achieve the objectives of the projects. Since it causes delay in project duration and increase the project budget to overcome the issues research work is carried out. This paper discusses how these ontological methods can be used by different types of projects team members for learning the project management system. It explain how thinkers and feelers can use it for making decisions. And thus the projects team can use the method as a common mind map to learn the CPMS.
MODEL AND METHOD FOR SYNTHESIS OF PROJECT MANAGEMENT METHODOLOGY WITH FUZZY INPUT DATA
Literature analysis concerning the selection or creation a project management methodology is performed. Creating a "complete" methodology is proposed which can be applied for managing projects with any complexity, various degrees of responsibility for results and different predictability of the requirements. For the formation of a "complete" methodology, it is proposed to take the PMBOK standard as the basis, which would be supplemented by processes of the most demanding plan driven and flexible Agile Methodologies. For each knowledge area of the PMBOK standard, the following groups of processes should be provided: initiation, planning, execution, reporting and forecasting, controlling, analysis, decision making and closing. The method for generating a methodology for the specific project is presented. The multiple criteria mathematical model and method are developed for synthesis of methodology when initial data about the project and its environment are fuzzy.
Introduction of Modeling Complex Management Systems using Fuzzy Cognitive Map
The 7th International Conference on Information Technology, 2015
Fuzzy Cognitive Maps (FCM) have found favor in a variety of theoretical and applied contexts that span the hard and soft sciences. Given the utility and flexibility of the method, coupled with the broad appeal of FCM to a variety of scientific disciplines, FCM have been appropriated in many different ways and, depending on the academic discipline in which it has been applied, used to draw a range of conclusions about the belief systems of individuals and groups. In scenario planning, causal mapping has long been used as a means to elicit the worldviews of multiple experts, facilitate discussion, and challenge and improve mental models. Large and complex causal maps, however, are difficult to analyze. The strength of FCM approach lies in its capacity not only to comprehensively model qualitative knowledge which dominates strategic decision making but also to stimulate and evaluate several alternative way of using IT in order to improve organizational performance. This approach introduces computational modeling, as well as it supports scenarios development and simulations. In this paper the authors focus on the investigation of two possible applications: waste management system and stakeholder management system. The common features of these systems are that both systems are complex and comprehensive.
NIPES Journal of Science and Technology Research , 2020
Project management requires analysis of various uncertain variables and it is vital that the best techniques that are capable of providing the most accurate results are employed. Fuzzy Logic is one of those techniques; it has the capability of significantly improving the activities of project managers. This paper describes how Fuzzy Logic can be applied in the area of construction, project monitory and control which is based on observations made from the project environment of some firms in Lagos State. The data obtained from the administered questionnaire was analyzed through descriptive and factor analysis. The analysis shows that Fuzzy has significant effect on project management control. It was also observed that application of Fuzzy Logic in project management has not been considered in most firms in the country as the traditional methods such as Critical Path Analysis, PERT. are still well utilized which have numerous problems in areas such as the beta distribution and stochastic variables as well as the estimation of parameters (expected duration and variance) hence, the need for improvement.
A fuzzy system for evaluating the risk of change in construction projects
Advances in Engineering Software, 2006
A major source of risk in construction is the potential changes occurring during the project lifetime. Changes in construction projects often result from the uncertainty associated with the imprecise and vague knowledge of much project information at the early stages of projects. IT systems for change management largely focus on managing reactive changes, in which changes are recorded and then propagated to the concerned project members. However, proactive change management is hardly dealt with. Proactive change management requires estimating the likelihood of occurrence of a change event as well as estimating the degree of change impacts on project parameters. A fuzzy system is proposed in this paper to maintain these requirements. The system simulates the relationships between change causes and effects, and is intended to facilitate proactive change management on projects.
Performance Prediction of Construction Projects using Soft Computing Methods
Canadian Journal of Civil Engineering
Key performance indicators (KPIs) evaluate different aspects of projects and are used to determine the health status of projects. While there is considerable work on project quantitative performance prediction, less attention, however, has been directed towards qualitative performance prediction. This paper offers a novel framework for qualitatively measuring and predicting six important construction project KPIs using the neuro-fuzzy technique. Neuro-fuzzy models are developed to map the KPIs of three critical project stages to whole project KPIs. Subtractive clustering is utilized to automatically generate initial fuzzy inference system (FIS) models and the artificial neural network (ANN) technique is used to tune the parameters of the initial FIS models. The relative weight of each KPI is determined using a series of computing methods namely, analytic hierarchy process (AHP) and genetic algorithm (GA), to generate the performance indicator (PI). The developed models are validated...
Neutrosophic Sets and Systems, 2018
Neutrosophic sets and their application to decision support have become a very important topic. In real situations,there are different sources of indeterminacy. This paper suggests a new decision-making model based on Neutrosophic Cognitive Maps (NCMs) for making comprehensive decisions from a multi-objective approach (diagnosis, decisions, and prediction)during the execution of many projects simultaneously. A Soft Computing technique like Fuzzy Cognitive Maps (FCMs) hasbeen widely used for decision-making process in project management, but this technique has the limitation of not consideringthe indeterminacy between concepts. This limitation is overcome by the proposed model since NCMs can represent the indeterminacy or neutrality. The new model includes neutrosophic sets in the map’s connections. Finally, the suggested model hasbeen compared with traditional FCM-based model considering efficiency and efficacy