A rough‐Z‐number‐based DEMATEL to evaluate the co‐creative sustainable value propositions for smart product‐service systems

Litoriya

2022

Preprint

In recent years, there has been an explosion in the popularity of wearable applications (wearable apps). However, to this day, relatively few research have been conducted to investigate the issues that are presented by wearable apps. Prior research has shown that user evaluations may provide a wealth of information that can be utilized to better identify quality concerns and assist app developers create higher quality wearable apps. In light of this, the purpose of this article is to mine user evaluations in order to get an understanding of the consumer concerns about wearable apps. In this paper, fifteen issues related to wearable apps are analyzed and discussed. In this paper, fifteen wearable apps issues have been identified. Afterwards we used the DEMATEL approach (Decision Making Trial and Evaluation Laboratory) to examine and classify the issues with wearable apps. Initially, numerous experts evaluate the direct relation among the issues in wearable apps. Pythagorean fuzzy number (PFN) are used to represent the evaluation of outcomes and linguistic terms are converted into PFN. After that issues are classified in group of cause and effect based on DEMATEL method. And results are compared with other variants of DEMATEL including Pythagorean fuzzy DEMATEL and Rough z number DEMATEL. Comparative analysis indicates that Pythagorean Fuzzy DEMATEL is best approach to analyze the relationship among issues in wearable apps. The conclusion of this study undoubtedly aids the apps/software business in successfully identifying the challenges on which experts and project managers should concentrate.

Section: Rough-z-numbermentioning

confidence: 99%

An Integrated Decision-Making Approach Based on Pythagorean Fuzzy Sets to analyze the wearable app issues

Litoriya

2022

Preprint

“…A rough Z number is proposed to combine the advantages of the Z number and the rough number in order to improve the manipulation capability of uncertainty, reliability, and subjectivity for MCDM applications [42]. This is motivated by the Z number's advantage in representing individual risk assessment's uncertainty and reliability and the rough number's advantage in manipulating subjectivity among different evaluation values [43].…”

Section: Rough-z-numbermentioning

confidence: 99%

Applying the Spherical fuzzy DEMATEL Approach for Identification and Prioritization of the Drone App Issues

Litoriya

2022

Preprint

During the past few years, the number of drones (Unmanned Aerial Vehicles or UAVs) manufactured and purchased has risen dramatically. It is predicted that it will continue to spread, making its use inevitable in all walks of life. There are two key parts to the UAV: the physical hardware and the software that governs its navigation or performs various duties depending on the area of concern. Manufacturers of drones release a mobile app for operating the drones. Only a small number of drone manufacturers also offer development kits for those who want to create their own unique or more creative apps for their devices. Drone apps are therefore expected to be overrun the app stores in the near future. UAV's software is not being studied/researched despite several active researches and studies being carried out in the UAV's hardware field. A large-scale empirical analysis of Google Play Store Platform apps connected to drones is being done in this direction. There are, however, a number of challenges with drone apps because of the lack of formal and specialized app development procedures. In this paper, eleven drone apps issues have been identified. Then we applied DEMATEL (Decision Making Trial and Evaluation Laboratory) method to analyze the drone apps issues (DIs) and divide these issues into cause and effect groups. Firstly, multiple experts evaluate the direct relations of influential issues in drone apps. The evaluation results are presented in spherical fuzzy numbers (SFN). Secondly, convert the linguistic terms into SFN. Thirdly, based on DEMATEL, the cause-effect classifications of issues are obtained. Finally, the issues in the cause category are identified as DI’s in drone apps. The outcome of the research is compared with the other variants of DEMATEL like rough‐Z‐number‐based DEMATEL and Spherical fuzzy number and the comparative results suggest that Spherical Fuzzy-DEMATEL is the most fitting method to analyze the interrelationship of different issues in drone app. The outcome of this work definitely assists the software industry to successful identification of the critical issues where professionals and project managers could really focus on.

“…The primary advantage of the fuzzy rough number is summarized as: Besides the comparison of the ranking orders, Spearman's rank correlation coefficient (ρ) is introduced to evaluate the correlation between the ranking lists. 59 In view of the ranking lists determined by the four methods, theρ values of those ranks are calculated as given in Table 10. As shown in Table 10, all the ρ values and their overall average are equal to 1, as all the ranking lists share the same order.…”

Section: Compared With Dematel-mairca Under Different Scenariosmentioning

confidence: 99%

Evaluating biological inspiration for biologically inspired design: An integrated DEMATEL‐MAIRCA based on fuzzy rough numbers

Zhu

2021

Int J Intell Syst

Self Cite

Biological inspiration evaluation has been widely acknowledged as one of the most important phases in biologically inspired design (BID) as it substantially determines the direction of the following-up design activities. However, it is inherently an interdisciplinary assessment, which includes both the engineering domain and the biological systems. Due to the lack of knowledge at the early stage of product design, the risk assessments mainly depend on experts' subjective judgments, which values are vague, imprecise, and even inconsistent. How to objectively evaluate the biological inspiration under such uncertain and interdisciplinary scenarios remains an open issue. To bridge such gaps, this study proposes a fuzzy rough number extended multi-criteria group decision-making (MCGDM) to evaluate the biological inspiration for BID. A fuzzy rough number is introduced to represent the individual decision maker's risk assessment and aggregate respective evaluation values within the decision-making group. A fuzzy rough number extended decision-making trial and evaluation laboratory is presented to determine the criteria weights and a fuzzy rough number extended multi-attribute ideal real comparative analysis is proposed to rank the candidate biological inspirations. Experimental results and comparative analysis validate the superiority of the proposed MCGDM in handling the subjectivity and uncertainty in biological inspiration evaluation.biological inspiration evaluation, biologically inspired design, DEMATEL, fuzzy rough number, MAIRCA | INTRODUCTIONBiologically inspired (i.e., bio-inspired) design (BID) is a promising and rapidly increasing paradigm for design innovation and sustainable design. 1 For millions of years, a huge number of biological functions, behaviors, and structures have been evolved in nature, providing a robust and efficient manner that enables plants and animals to sustain their existence in diverse ways. 2 As a knowledge-driven design methodology, BID aims to systematically mine biological knowledge (e.g., biological functions, behaviors, and structures) to resolve engineering problems, such as eco-design and design creativity-inspiring. 3 It starts with the problem formulation and follows with the problem reframing, biological inspiration identification (i.e., biological solution acquisition, biological solution definition, biological inspiration generation, and biological inspiration evaluation), and the final biological inspiration application. 4 Due to its prominent performance in creativity-inspiring and technical innovation, BID has been widely investigated in various areas and a vast amount of biomimetic applications have emerged in our daily life, such as algorithm development, 5 robotics, 6 material design, 7 optics, 8 and image processing. 9 BID is inherently interdisciplinary. 10 To facilitate the knowledge analogy between the engineering world and biological systems, designers should be equipped with a strong background in the engineering discipline as well as good expertise in the biol...