9786139818631 - Forecast Maintenance Cost of Associative IT Services: Modeling with Adaptive Neuro-Fuzzy Inference System (ANFIS) de Moradi, Leila (6 resultados)

Paperback. Condición: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock.

Taschenbuch. Condición: Neu. Neuware -Determining amount IT budgeting for each year is heavily complicated. IT creates a lot of cost for organization if IT managers do not have enough knowledge about cost management. Therefore, right recognition of cost factors can be helpful to cost prediction in the area to support enterprise for cost-effectiveness. In this regard, maintenance system cost predication of IT considering to their important role and well-time availability of the system in organization is valuable for IT managers. In the study, ANFIS (adoptive Neuro-Fuzzy Inference system) with capability of modeling and predication is selected respectively for quantifying IT services and their maintenance cost. ANFIS is suggested as a new model and technique for cost forecasting tool. To show capability of the model operation, it is experienced on Automation services of one of the organization in Iran. Because of easily accessibility to finding parameters, Automation services is selected as kind of user-involved and widely ¿used studying on the variables data to develop model. This research can be useful for IT managers in organization to estimate the intangible costs of IT depend on type of system of their organizationBooks on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch.

Taschenbuch. Condición: Neu. Forecast Maintenance Cost of Associative IT Services | Modeling with Adaptive Neuro-Fuzzy Inference System (ANFIS) | Leila Moradi | Taschenbuch | 84 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139818631 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Determining amount IT budgeting for each year is heavily complicated. IT creates a lot of cost for organization if IT managers do not have enough knowledge about cost management. Therefore, right recognition of cost factors can be helpful to cost prediction in the area to support enterprise for cost-effectiveness. In this regard, maintenance system cost predication of IT considering to their important role and well-time availability of the system in organization is valuable for IT managers. In the study, ANFIS (adoptive Neuro-Fuzzy Inference system) with capability of modeling and predication is selected respectively for quantifying IT services and their maintenance cost. ANFIS is suggested as a new model and technique for cost forecasting tool. To show capability of the model operation, it is experienced on Automation services of one of the organization in Iran. Because of easily accessibility to finding parameters, Automation services is selected as kind of user-involved and widely -used studying on the variables data to develop model. This research can be useful for IT managers in organization to estimate the intangible costs of IT depend on type of system of their organization 84 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Moradi LeilaLeila Moradi, M.Sc., Information Technology Management & Advanced Information System, Researcher and educated, Department of IT, economic, management, University of Science and Research, Tehran, Iran, IT Manager at inter.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Determining amount IT budgeting for each year is heavily complicated. IT creates a lot of cost for organization if IT managers do not have enough knowledge about cost management. Therefore, right recognition of cost factors can be helpful to cost prediction in the area to support enterprise for cost-effectiveness. In this regard, maintenance system cost predication of IT considering to their important role and well-time availability of the system in organization is valuable for IT managers. In the study, ANFIS (adoptive Neuro-Fuzzy Inference system) with capability of modeling and predication is selected respectively for quantifying IT services and their maintenance cost. ANFIS is suggested as a new model and technique for cost forecasting tool. To show capability of the model operation, it is experienced on Automation services of one of the organization in Iran. Because of easily accessibility to finding parameters, Automation services is selected as kind of user-involved and widely -used studying on the variables data to develop model. This research can be useful for IT managers in organization to estimate the intangible costs of IT depend on type of system of their organization.