Strategic Decisions Using Intuitionistic Fuzzy Vikor Method for Information System (IS) Outsourcing

Supplier selection, the process of finding the right suppliers who are able to provide the buyer with the right quality products and/or services at the right price, at the right time and in the right quantities, is one of the most critical activities for establishing an effective supply chain, and is typically a multi-criteria group decision problem. In many practical situations, there usually exists incomplete and uncertain information, and the decision makers cannot easily express their judgments on the candidates with exact and crisp values. Therefore, in this paper an extended VIKOR method for group decision making with intuitionistic fuzzy numbers is proposed to solve the supplier selection problem under incomplete and uncertain information environment. In other researches in this area, the weights of each decision makers and in many of them the weights of criteria are pre-determined, but these weights have been calculated in this paper by using the decision matrix of each decision maker. Also, normalized Hamming distance is proposed to calculate the distance between intuitionistic fuzzy numbers. Finally, a numerical example for supplier selection is given to clarify the main results developed in this paper.

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ERP Software Selection Based on Intuitionistic Fuzzy VIKOR Method

Multi-Criteria Decision-Making Models for Website Evaluation - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-5225-8238-0.ch006 ◽

2019 ◽

pp. 121-137

Author(s):

Burak Efe

Keyword(s):

Decision Making ◽

Decision Makers ◽

Selection Problem ◽

Final Decision ◽

Software Selection ◽

Intuitionistic Fuzzy Numbers ◽

Fuzzy Vikor ◽

Intuitionistic Fuzzy ◽

Erp Software ◽

Unique Decision

This chapter uses intuitionistic fuzzy VIKOR (IFVIKOR) for the application of ERP software selection. First, priority values of criteria in ERP software selection problem have been determined by using the judgments of the experts. IFWA operator is utilized to integrate the judgments of the experts about the weights of criteria. Then, the result of the IFVIKOR can be employed to define the most appropriate ERP alternative in uncertain environment. Intuitionistic fuzzy numbers are presented in all phases in order to overcome any vagueness in the decision-making process. The final decision depends on the degree of importance of each decision so that wrong degree of importance causes the mistaken result. The researchers generally determine the degrees of importance of each decision makers according to special characteristics of each decision maker as subjectivity. In order to overcome this subjectivity in this chapter, the judgments of decision makers are degraded to unique decision by using the importance degree of each expert. There is no study about ERP software selection using IFVIKOR.

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Blending Information and Communication Technology (ICT) with an Accounting System

Cases on Business and Management in the MENA Region ◽

10.4018/978-1-60960-583-4.ch001 ◽

2011 ◽

pp. 1-9

Author(s):

Khaled Dahawy ◽

Khaled Samaha

Keyword(s):

Information System ◽

System Development ◽

Accounting Information ◽

Implementation Process ◽

Accounting System ◽

System Implementation ◽

Strategic Decisions ◽

Accounting Systems ◽

Accounting Information System ◽

Top Management Commitment

Improving our understanding of the accounting information system development in a specific Egyptian context, this case aims to investigate the development of a redesigned automated accounting system in a privately owned Egyptian company that was planning material changes in its accounting systems and organizational structure through integrating ICT systems. In other words, this case attempts to explore the company’s strategic decisions regarding computerized accounting information system implementation choices, problems met during the implementation process, and the actions taken to takeover these problems to gain the potential accounting system redesign benefits. Tracking the automated accounting system redesign highlights some implementation success key factors and emphasizes that obtaining top management commitment to the process of an automated accounting system implementation is a prerequisite for success.

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FMEA Using Fuzzy VIKOR Method

FMEA Using Uncertainty Theories and MCDM Methods ◽

10.1007/978-981-10-1466-6_7 ◽

2016 ◽

pp. 101-116 ◽

Cited By ~ 1

Author(s):

Hu-Chen Liu

Keyword(s):

Vikor Method ◽

Fuzzy Vikor

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An Extended FMEA Model Based on Cumulative Prospect Theory and Type-2 Intuitionistic Fuzzy VIKOR for the Railway Train Risk Prioritization

Entropy ◽

10.3390/e22121418 ◽

2020 ◽

Vol 22 (12) ◽

pp. 1418

Author(s):

Yong Fu ◽

Yong Qin ◽

Weizhong Wang ◽

Xinwang Liu ◽

Limin Jia

Keyword(s):

Prospect Theory ◽

Failure Modes ◽

Fuzzy Numbers ◽

Cumulative Prospect Theory ◽

Entropy Weight ◽

Intuitionistic Fuzzy Numbers ◽

Risk Prioritization ◽

Fuzzy Vikor ◽

Intuitionistic Fuzzy

This paper aims toward the improvement of the limitations of traditional failure mode and effect analysis (FMEA) and examines the crucial failure modes and components for railway train operation. In order to overcome the drawbacks of current FMEA, this paper proposes a novel risk prioritization method based on cumulative prospect theory and type-2 intuitionistic fuzzy VIKOR approach. Type-2 intuitionistic VIKOR handles the combination of the risk factors with their entropy weight. Triangular fuzzy number intuitionistic fuzzy numbers (TFNIFNs) applied as type-2 intuitionistic fuzzy numbers (Type-2 IFNs) are adopted to depict the uncertainty in the risk analysis. Then, cumulative prospect theory is employed to deal with the FMEA team member’s risk sensitiveness and decision-making psychological behavior. Finally, a numerical example of the railway train bogie system is selected to illustrate the application and feasibility of the proposed extended FMEA model in this paper, and a comparison study is also performed to validate the practicability and effectiveness of the novel FMEA model. On this basis, this study can provide guidance for the risk prioritization of railway trains and indicate a direction for further research of risk management of rail traffic.

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