scholarly journals Enhanced Fuzzy Delphi Method in Forecasting and Decision-Making

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Majed G. Alharbi ◽  
Hamiden Abd El- Wahed Khalifa

The Delphi method is a process where subjective data are transformed into quasi-objective data using statistical analysis and are converged to stable points. The Delphi method was developed by the RAND Corporation at Santa Monica, California, and is widely used for long-range forecasting in management science. It is a method by which the subjective data of experts are made to converge using some statistical analyses. This article proposes a variation of the Delphi method using triangular fuzzy numbers, where the communication method with the experts is the same, but the estimation procedure is different. The utility of the method is illustrated by a numerical example.

Author(s):  
Adriana Santos Caballero ◽  
Jaime Gil Lafuente

The aim of this work is to analyze and improve the SWOT technique, considered one of the most classic analytical techniques in the field of strategy. The findings show how an instrument of fuzzy logic can measure the degree of strength of factors that correspond to the strengths, weaknesses, opportunities, and threats which correspond to a particular sector: in this case, that of the pharmaceutical sector of Paraguay. Its originality consists of working with Expertons, an instrument which maintains the information of all studied experts intact in order to obtain a better result. From this, a model which captures and measures the level of importance of each of the SWOT factors is developed. Future research are suggested which integrate Fuzzy-SWOT and Fuzzy-Delphi to work with classic fuzzy numbers, triangular fuzzy numbers, and trapezoidal fuzzy numbers in order to obtain a more complete and complex Fuzzy-SWOT model which better reflects reality. Keywords: fuzzy logic, SWOT, theory of expertons, strategic marketing.


Mathematics ◽  
2021 ◽  
Vol 9 (18) ◽  
pp. 2323
Author(s):  
Antonio Francisco Roldán López de Hierro ◽  
Miguel Sánchez ◽  
Daniel Puente-Fernández ◽  
Rafael Montoya-Juárez ◽  
Concepción Roldán

Delphi multi-round survey is a procedure that has been widely and successfully used to aggregate experts’ opinions about some previously established statements or questions. Such opinions are usually expressed as real numbers and some commentaries. The evolution of the consensus can be shown by an increase in the agreement percentages, and a decrease in the number of comments made. A consensus is reached when this percentage exceeds a certain previously set threshold. If this threshold has not been reached, the moderator modifies the questionnaire according to the comments he/she has collected, and the following round begins. In this paper, a new fuzzy Delphi method is introduced. On the one hand, the experts’ subjective judgments are collected as fuzzy numbers, enriching the approach. On the other hand, such opinions are collected through a computerized application that is able to interpret the experts’ opinions as fuzzy numbers. Finally, we employ a recently introduced fuzzy ranking methodology, satisfying many properties according to human intuition, in order to determine whether the expert’s fuzzy opinion is favorable enough (comparing with a fixed fuzzy number that indicates Agree or Strongly Agree). A cross-cultural validation was performed to illustrate the applicability of the proposed method. The proposed approach is simple for two reasons: it does not need a defuzzification step of the experts’ answers, and it can consider a wide range of fuzzy numbers not only triangular or trapezoidal fuzzy numbers.


2018 ◽  
Vol 9 (11) ◽  
pp. 1717-1727
Author(s):  
Ajay Minj ◽  
Pathinathan T.

2020 ◽  
pp. 2516600X2097412
Author(s):  
A. K. M. Hedaitul Islam ◽  
Md. Rayhan Sarker ◽  
Md. Israil Hossain ◽  
Kauser Ali ◽  
K. M. Asadun Noor

Small- and medium-sized enterprises (SMEs) create more employment opportunities and thus, contribute to the national economy of a country. Footwear SMEs have been identified as an emerging economy in Bangladesh, which is facing several challenges. Very few studies focused on the challenges of SMEs’ business growth. However, until now, no literature particularly focused on the challenges of footwear SMEs and discussed how to tackle these challenges. To fill this research gap, we use the Fuzzy Delphi Method and fuzzy analytical hierarchy process, to find out the degree of importance of critical challenges of footwear SMEs. In our study, 16 critical challenges are identified among which lingering in cash flow (F3), fierce market competition (E1), access to finance (F2), unfavorable bank loan policy (F1), and poor supply chain management (E2) have been ascertained as the top five critical challenges, respectively. This study contributes to the existing literature of SMEs by identifying five new challenges from the context of the footwear industry. Furthermore, we suggest some possible measures to overcome the identified challenges. This study can guide the government, practitioners, and SME policymakers to address these challenges for the growth of any SME sector.


2021 ◽  
Vol 11 (8) ◽  
pp. 3555
Author(s):  
Chien-Hsiung Chen ◽  
Zhongzhen Lin

In the present era, technology is developing rapidly. Smartphones play a significant part in people’s lives. However, the research on smartphones mainly focuses on the area of technological realization. The purposes of this study were to examine the relationship between the various rear cameras in smartphones and consumer perceptions, and to understand consumers’ purchasing intentions and preferences. Through the methods of multidimensional scaling (MDS), factor analysis and triangular fuzzy numbers, the visual images of the smartphone rear cameras were analyzed and discussed. The results indicate that the visual images taken by different shapes of rear camera are quite distinct in the categories of innovative and fashionable, and simple and pure, but less distinct in the categories of harmonious and ordered, premium and technical, and superior and valuable. Through a comprehensive comparison, four groups whose images were similar were created. The outcome effectively reflects the potential consumer demands for smartphone rear camera patterns, providing insights for design practices in the smartphone industry.


2021 ◽  
Vol 1918 (5) ◽  
pp. 052071
Author(s):  
Z R Hendrastuti ◽  
S Siswanto ◽  
A Muhlisin ◽  
F Firmadani ◽  
H Hartono ◽  
...  

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