The selection of technology forecasting method using a multi-criteria interval-valued intuitionistic fuzzy group decision making approach

İntepe, Gizem; Bozdag, Erhan; Koç, Tufan

doi:10.1016/j.cie.2013.03.002

Cited by 57 publications

(14 citation statements)

References 37 publications

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“…For example, Intepe et al (2013) selected the most appropriate TF method for 3D television technology using a TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method. compared TF methods for the development of new materials using the fuzzy AHP (Analytical Hierarchy Process) method.…”

Section: Technology Forecastingmentioning

confidence: 99%

Forecasting technology success based on patent data

Altuntaş

Dereli

Kusiak

2015

Technological Forecasting and Social Change

135

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Section: Technology Forecastingmentioning

confidence: 99%

Forecasting technology success based on patent data

Altuntaş

Dereli

Kusiak

2015

Technological Forecasting and Social Change

135

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“…Five other methods [40][41][42][43][44] are used in the comparative study here as examples to show the performance of the fuzzy multicriteria group decision making model developed. The result shows that the proposed fuzzy multicriteria group decision making model produces consistent ordering results as compared to most of the multicriteria group decision making methods.…”

Section: An Examplementioning

confidence: 99%

Evaluation of Cloud Services: A Fuzzy Multi-Criteria Group Decision Making Method

Wibowo

Deng

2016

Algorithms

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This paper presents a fuzzy multi-criteria group decision making method for evaluating the performance of Cloud services in an uncertain environment. Intuitionistic fuzzy numbers are used to better model the subjectivity and imprecision in the performance evaluation process. An effective algorithm is developed based on the technique for order preference by similarity to the ideal solution and the Choquet integral operator for adequately solving the performance evaluation problem. An example is presented for demonstrating the applicability of the proposed method for solving the multi-criteria group decision making problem in real situations.

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“…Hashemi et al [37] modeled an extended compromise ratio with an application to reservoir ood control operation under an interval-valued intuitionistic fuzzy environment. _Intepe et al [41] modeled a forecasting method with intuitionistic fuzzy information.…”

Section: Introductionmentioning

confidence: 99%

A projection-based approach to intuitionistic fuzzy group decision making

Yue

Jia

2017

Scientia Iranica

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Abstract. Group Decision Making (GDM) is usually used for solving complex decision problems, which is an important part of modern decision science. Weight of the Decision Maker (DM) plays an important role in the GDM process, and the projection-based approach is a comprehensive consideration between decision objects. It is a valuable work to determine the weights of DMs by a projection measurement. This paper investigates a GDM method based on projection measurement in an intuitionistic fuzzy environment. First, this article introduces an ideal decision among all individual decisions, and the weights of DMs are determined by using a projection measurement. Then, the individual decisions are aggregated into a collective decision. Finally, the preference order of alternatives is identi ed by using the score and accuracy function of the intuitionistic fuzzy numbers. In addition, a comparison with another GDM method is provided. Feasibility and practicability of the developed method are illustrated by an experimental analysis. The experimental result shows that the projection-based method is a high-resolution decision method.

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The selection of technology forecasting method using a multi-criteria interval-valued intuitionistic fuzzy group decision making approach

Cited by 57 publications

References 37 publications

Forecasting technology success based on patent data

Forecasting technology success based on patent data

Evaluation of Cloud Services: A Fuzzy Multi-Criteria Group Decision Making Method

A projection-based approach to intuitionistic fuzzy group decision making

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