Technical attributes ratings in fuzzy QFD by integrating interval-valued intuitionistic fuzzy sets and Choquet integral

Yu, Liying; Wang, Linyu; Bao, Yuhang

doi:10.1007/s00500-016-2464-8

Cited by 33 publications

(6 citation statements)

References 32 publications

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“…Moreover, this paper only analyses the application of the proposed method in the selection of CC vendors. In general, this method is suitable for dealing with complex MCDM problems with IVIF-PRs such as QFD (Liu et al, 2017;Yu et al, 2018), project investment scheme selection (Wu et al, 2019) and information system development program selection (Kirmizi and Kocaoglu, 2019).…”

Section: Discussionmentioning

confidence: 99%

A Group Decision Making Method with Interval-Valued Intuitionistic Fuzzy Preference Relations and Its Application in the Selection of Cloud Computing Vendors for SMEs

Zhang¹,

Tang²,

Meng³

et al. 2020

Informatica

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To solve the problem of choosing the appropriate cloud computing vendors in small and medium-sized enterprises (SMEs), this paper boils it down to a group decision making (GDM) problem. To facilitate the judgment, this paper uses preference relation as the decision making technology. Considering the situation where uncertain positive and negative judgments exist simultaneously, interval-valued intuitionistic fuzzy preference relations (IVIFPRs) are employed to express the decision makers' judgments. In view of the multiplicative consistency and consensus analysis, a new GDM algorithm with IVIFPRs is offered. To accomplish this goal, a new multiplicative consistency is first defined, which can avoid the limitations of the previous ones. Then, a programming model is built to check the consistency of IVIFPRs. To deal with incomplete IVIFPRs, two programming models are constructed to determine the missing values with the goal of maximizing the level of multiplicative consistency and minimizing the total uncertainty. To achieve the minimum adjustment of original preference information, a programming model is established to repair inconsistent IVIFPRs. In addition, programming models for getting the decision makers (DMs)' weights and improving the consensus degree are offered. Finally, a practical decision making example is given to illustrate the effectiveness of the proposed method and to compare it with previous methods.

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Section: Discussionmentioning

confidence: 99%

A Group Decision Making Method with Interval-Valued Intuitionistic Fuzzy Preference Relations and Its Application in the Selection of Cloud Computing Vendors for SMEs

Zhang¹,

Tang²,

Meng³

et al. 2020

Informatica

View full text Add to dashboard Cite

show abstract

“…Abdolshah and Moradi classified the models integrated with FQFD [8]. Also there are several types of FQFD with using different types of fuzzy sets: Hesitant FQFD [9], Intuitionistic FQFD [10], Neutrosophic QFD with using interval neutrosophic sets [11], Pythagorean FQFD [12]. Besides these models, there are several studies by incorporating environmental aspects.…”

Section: Quality Function Deploymentmentioning

confidence: 99%

An Extended QFD Method for Sustainable Production with Using Neutrosophic Sets

Ayber

Erginel

2021

Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation

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Identifying customer needs effectively and manufacturing products based on needs by using processes that minimize negative impacts on environment and people, and are economically sound are important objectives for companies to increase growth and competitiveness also to obtain sustainability. Quality function deployment (QFD) is a methodology for transforming customer requirements (CRs), needs and demands to the design requirements (DRs) via listening the voice of customers. In this study, an extended Quality Function Deployment (ext_QFD) method is presented. Customer voice and social, economic, environmental aspects are handled together to achieve sustainable production. While applying this method, the priorities of the CRs, DRs' correlation matrix and the relationship matrix between CRs and DRs are generally obtained from human evaluations by linguistic terms so this situation leads to uncertainty and vagueness. Fuzzy set theory is preferable for removing this vagueness. In this study, single valued neutrosophic sets are used and the proposed method's novel discoveries are demonstrated in detail using a case study of marble manufacturing.

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“…At present, the academia generally uses analytic network process (ANP), fuzzy logic reasoning, and other methods to calculate the existing importance of technical characteristics [20]. Lam and Lai and others transform customer demand into functional demand based on the ANP-QFD model and determine the importance of functional demand.…”

Section: Analytic Network Process (Anp)mentioning

confidence: 99%

Multiobjective Decision-Making for Technical Characteristics Selection in a House of Quality

Xie

Qin

Jiang

2020

Mathematical Problems in Engineering

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Technical characteristics are an important influencing factor in fuzzy front-end of product innovation design and also an important output of the house of quality. The analysis and decision-making of technical characteristics are conducive to the rational allocation of resources according to their own advantages and the design of products in line with market demand. In view of the multiple objective constraints and internal fuzziness of technical property selection in the house of quality, the traditional methods have great limitations on the decision-making of technical property. Therefore, this paper proposes a multiobjective decision-making method for technical property selection in the house of quality, which aims to calculate and modify the basic importance of technical property. Based on the rough set algorithm, the basic importance of technical characteristics is determined by using the correlation matrix between consumer demand and technical characteristics, and the relative weight of multiple objectives is determined by “least squares.” On this basis, the multiobjective decision-making model of technical characteristic selection is established and calculated. At last, an example of mobile phone product design was used to verify the practicability and effectiveness of the method.

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Technical attributes ratings in fuzzy QFD by integrating interval-valued intuitionistic fuzzy sets and Choquet integral

Cited by 33 publications

References 32 publications

A Group Decision Making Method with Interval-Valued Intuitionistic Fuzzy Preference Relations and Its Application in the Selection of Cloud Computing Vendors for SMEs

A Group Decision Making Method with Interval-Valued Intuitionistic Fuzzy Preference Relations and Its Application in the Selection of Cloud Computing Vendors for SMEs

An Extended QFD Method for Sustainable Production with Using Neutrosophic Sets

Multiobjective Decision-Making for Technical Characteristics Selection in a House of Quality

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