Conceptual design evaluation considering the ambiguity semantic variables fusion with conflict beliefs: An integrated Dempster-Shafer evidence theory and intuitionistic fuzzy -VIKOR

2021 ◽  
Vol 50 ◽  
pp. 101426
Author(s):  
Liting Jing ◽  
Shun He ◽  
Junfeng Ma ◽  
Jing Xie ◽  
Hangchao Zhou ◽  
...  
Keyword(s):  
Conceptual Design ◽  
Evidence Theory ◽  
Design Evaluation ◽  
Fuzzy Vikor ◽  
Intuitionistic Fuzzy ◽  
Semantic Variables

ERP Software Selection Based on Intuitionistic Fuzzy VIKOR Method

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.

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

Entropy ◽  
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.

Exploiting Critical Path Method for Evaluation of Conceptual Design

2010 ◽  
Vol 97-101 ◽  
pp. 4429-4432 ◽  
Author(s):  
Mei Yan Wang ◽  
Lian Guan Shen ◽  
Yi Min Deng
Keyword(s):  
Conceptual Design ◽  
Critical Path ◽  
Design Concept ◽  
Design Evaluation ◽  
Critical Path Method ◽  
Design Concepts ◽  
Critical Design ◽  
Concept Evaluation ◽  
Design Requirements

Conceptual design is a critical design phase during which initial design solutions, called design concepts, are developed. These design concepts must be evaluated to ensure they satisfy the specified design requirements and the most appropriate design concept must be selected. It is often difficult for the designer, especially for the novice, to make an appropriate design concept evaluation and selection. Existing work on design evaluation lacks an effective tool for evaluating the temporal performance of the design concepts. To address this problem, a Critical Path Method (CPM) from project management is adapted for design evaluation, whereby a CPM network is converted from a causal behavioral process (CBP) and the methodologies relating to CPM are also applied to design improvement. A case study of a lever-clamp assembly system is also presented to illustrate as well as validate the method.

scholarly journals Probability Estimation in the Framework of Intuitionistic Fuzzy Evidence Theory

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Yafei Song ◽  
Xiaodan Wang
Keyword(s):  
Evidence Theory ◽  
Estimation Method ◽  
Probability Estimation ◽  
Belief Functions ◽  
Intuitionistic Fuzzy ◽  
Dempster Shafer Theory ◽  
Fuzzy Environment ◽  
Shafer Theory ◽  
Theory Of Evidence ◽  
Interval Valued

Intuitionistic fuzzy (IF) evidence theory, as an extension of Dempster-Shafer theory of evidence to the intuitionistic fuzzy environment, is exploited to process imprecise and vague information. Since its inception, much interest has been concentrated on IF evidence theory. Many works on the belief functions in IF information systems have appeared. Although belief functions on the IF sets can deal with uncertainty and vagueness well, it is not convenient for decision making. This paper addresses the issue of probability estimation in the framework of IF evidence theory with the hope of making rational decision. Background knowledge about evidence theory, fuzzy set, and IF set is firstly reviewed, followed by introduction of IF evidence theory. Axiomatic properties of probability distribution are then proposed to assist our interpretation. Finally, probability estimations based on fuzzy and IF belief functions together with their proofs are presented. It is verified that the probability estimation method based on IF belief functions is also potentially applicable to classical evidence theory and fuzzy evidence theory. Moreover, IF belief functions can be combined in a convenient way once they are transformed to interval-valued possibilities.

A new index based on mechatronics abilities for the conceptual design evaluation

Mechatronics ◽  
2018 ◽  
Vol 49 ◽  
pp. 67-76 ◽  
Author(s):  
V.C. Moulianitis ◽  
G.-A.D. Zachiotis ◽  
N.A. Aspragathos
Keyword(s):  
Conceptual Design ◽  
Design Evaluation

Quantifying Design Freedom in Decision-Based Conceptual Design

2000 ◽  
Author(s):  
William H. Wood
Keyword(s):  
Conceptual Design ◽  
Design Space ◽  
Design Evaluation ◽  
Design Problems ◽  
The Cost ◽  
Analysis Models ◽  
Decision Based Design ◽  
The Impact ◽  
Design Freedom ◽  
Probabilistic Entropy

Abstract Formal methods for conceptual design must embrace the uncertainty that pervades the earliest parts of the design process. Operating over this uncertainty, decision-based design measures the value of restricting the design space as well as the impact of refining design evaluation or analysis models. Missing from this framework is the cost in terms of design freedom of restricting the design space. We propose a measure of design freedom based on probabilistic entropy and demonstrate its application to two example conceptual design problems.

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