Intelligent decision making and analysis using fuzzy cognitive maps for disaster recovery planning

IT management processes have been growing as the development of modern IT systems has grown. These are often complex with multiple interdependencies that can make it very difficult for Chief Information Officers (CIOs) to comprehend and be aware of potential risks. These risks have the potential to translate into decision making inefficiencies for an organization. Risk analysis for decision making in the planning and monitoring of these systems can be a complex and demanding task. Intelligent decision making in IT management processes and systems are a crucial element of an organization’s success and its competitive position in the marketplace. This chapter considers the implementation of Fuzzy Cognitive Maps (FCM) to provide facilities to capture and represent complex relationships in an IT management process model. By using FCMs, CIOs can regularly review and improve their IT management processes and provide greater improvement in development, monitoring and maintenance of those processes. CIOs can perform what-if analysis to better understand vulnerabilities of their designed system.

Download Full-text

Intelligent Decision Making and Risk Analysis of B2c E-Commerce Customer Satisfaction

International Journal of Fuzzy System Applications ◽

10.4018/ijfsa.2015010104 ◽

2015 ◽

Vol 4 (1) ◽

pp. 60-75 ◽

Cited By ~ 1

Author(s):

Masoud Mohammadian

Keyword(s):

Decision Making ◽

Customer Satisfaction ◽

Fuzzy Cognitive Maps ◽

Intelligent Decision Making ◽

Development Teams ◽

Intelligent Decision ◽

Rapid Changes ◽

Decision Making System ◽

Complex Relationships ◽

Constant Improvement

Customer satisfaction and relationship is complex, demanding, and yet crucial to an organization success and its competitive position in the marketplace. Due to rapid changes in emerging technologies there is a need for constant improvement and adjustment of product and services offered using e-commerce systems. Customer satisfaction is dependent on a large number of organizational as well as product and services attributes. These attributes require continuous development, improvement and monitoring. The interdependencies of these attributes make it very difficult for managers and product and services development teams to comprehend and be aware of effect (, Rohm et al 2004, , ) of inefficiencies that may exist in development and offering of their products and services. This paper considers the implementation of an intelligent decision making system using Fuzzy Cognitive Maps (FCMs) to provide facilities to capture and represent complex relationships in a customer satisfaction management and modelling to improve the understanding of managers and product developers about their customers and associated risks related to products and services that are offered online using e-commerce sites. By using FCMs, customer satisfactions can regularly be reviewed and improved. Managers can perform what-if analyses to better understand vulnerabilities and pitfalls in the way their product and services are provided to customers.

Download Full-text

Intelligent Decision Making and Risk Analysis of B2c E-Commerce Customer Satisfaction

Fuzzy Systems ◽

10.4018/978-1-5225-1908-9.ch042 ◽

2017 ◽

pp. 969-986

Author(s):

Masoud Mohammadian

Keyword(s):

Decision Making ◽

Customer Satisfaction ◽

Fuzzy Cognitive Maps ◽

Intelligent Decision Making ◽

Development Teams ◽

Intelligent Decision ◽

Rapid Changes ◽

Decision Making System ◽

Complex Relationships ◽

Constant Improvement

Customer satisfaction and relationship is complex, demanding, and yet crucial to an organization success and its competitive position in the marketplace. Due to rapid changes in emerging technologies there is a need for constant improvement and adjustment of product and services offered using e-commerce systems. Customer satisfaction is dependent on a large number of organizational as well as product and services attributes. These attributes require continuous development, improvement and monitoring. The interdependencies of these attributes make it very difficult for managers and product and services development teams to comprehend and be aware of effect (, Rohm et al 2004, , ) of inefficiencies that may exist in development and offering of their products and services. This paper considers the implementation of an intelligent decision making system using Fuzzy Cognitive Maps (FCMs) to provide facilities to capture and represent complex relationships in a customer satisfaction management and modelling to improve the understanding of managers and product developers about their customers and associated risks related to products and services that are offered online using e-commerce sites. By using FCMs, customer satisfactions can regularly be reviewed and improved. Managers can perform what-if analyses to better understand vulnerabilities and pitfalls in the way their product and services are provided to customers.

Download Full-text

Situation Calculus as Development of Semiotic Approach to Constructing Intelligent Decision-Making Support System

Vestnik NSU Series Information Technologies ◽

10.25205/1818-7900-2017-15-4-43-52 ◽

2017 ◽

Vol 15 (4) ◽

pp. 43-52

Author(s):

L. V. Massel ◽

◽

V. R. Kuzmin ◽

Keyword(s):

Decision Making ◽

Support System ◽

Situation Calculus ◽

Intelligent Decision Making ◽

Intelligent Decision ◽

Semiotic Approach ◽

Decision Making Support

Download Full-text

Disaster Recovery Planning

10.31227/osf.io/x3rzu ◽

2018 ◽

Author(s):

Soetam Rizky Wicaksono

Keyword(s):

Disaster Recovery ◽

Business Continuity ◽

Recovery Planning ◽

Business Continuity Planning ◽

Continuity Planning ◽

Disaster Recovery Planning

Masih banyak orang di bidang TI maupun manajemen (baik akademisi ataupun profesional, terutama di Indonesia) yang masih belum mengenal tentang disaster recovery planning atau seringkali disingkat sebagai DRP. Mendengar saja pun masih banyak yang mengernyitkan dahi, “apakah itu termasuk ilmu baru ?”, “siapa yang mencetuskan ?”,”apa efeknya bagi lembaga atau perusahaan ?” dan masih banyak pertanyaan lain yang menggelayut di benak para profesional maupun akademisi.DRP sendiri yang nantinya akan menjadi sebuah rangkaian dari business continuity planning atau BCP, sesungguhnya bukan hal baru di bidang TI maupun bidang manajemen. Tetapi meski bukan suatu hal yang baru, DRP sendiri seringkali menjadi “anak tiri” dalam sebuah implementasi sistem informasi di sebuah institusi.

Download Full-text