VASMA Weighting: Survey-Based Criteria Weighting Methodology that Combines ENTROPY and WASPAS-SVNS to Reflect the Psychometric Features of the VAS Scales

Leščauskienė, Ingrida; Baušys, Romualdas; Zavadskas, Edmundas Kazimieras; Juodagalvienė, Birutė

doi:10.3390/sym12101641

Cited by 21 publications

(42 citation statements)

References 47 publications

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“…During the interview, it is necessary to determine allocate of PV, e.g., household, small and medium-sized enterprises (SME), or others. For correct determine the purpose, it is adequate to use the specific, measurable, achievable, relevant, time-bound, exciting, recorded (SMART-ER) method [51,52].…”

Section: Adopting a Purpose Of Analysismentioning

confidence: 99%

Model of Choice Photovoltaic Panels Considering Customers’ Expectations

Siwiec

Pacana

2021

Energies

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Photovoltaic electricity generation is key to achieving deep decarbonization with a high degree of electrification. It is predicted that the energy sector will reduce carbon dioxide by producing electricity mainly from photovoltaic (PV) power. Although dynamic development of the implementation of photovoltaic panels has been observed, their choice considering customer specificity is still a problem. Therefore, the purpose of this study is to propose the model of choice photovoltaic panels considering customers’ expectations. It can support the choice of a photovoltaic panel of a certain quality (satisfaction of concrete customer) in combination with the cost of its purchase. The proposed model includes acquiring and then processing customers’ expectations into technical criteria, while simultaneously considering the weighting of these criteria. It is realized in a standardized way, i.e., the zero-unitarization method (MUZ), after which normalized values of the quality of the photovoltaic panels’ criteria are obtained. In turn, the quality of these products is estimated by the weighted sum model (WSM) and then integrated with purchase cost in qualitative cost analysis (AKJ). As a result, using the scale of relative states, it is possible to categorize customer satisfaction from indicating qualitative cost and selecting the photovoltaic panel expected by customers (the most satisfactory). The effectiveness of the model was demonstrated by a sensitivity analysis, after which the key PV criteria were indicated. The proposed model is intended for any entity who selects a photovoltaic panel for customers. The computerization of calculations may contribute to its utilitarian dissemination.

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Section: Adopting a Purpose Of Analysismentioning

confidence: 99%

Model of Choice Photovoltaic Panels Considering Customers’ Expectations

Siwiec

Pacana

2021

Energies

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“…where σ R is the standard deviation. Although all input random variables have Gauss pdf, their product has non-zero skewness a R -see Equation (23).…”

Section: Computational Modelmentioning

confidence: 99%

“…Another group of tasks uses entropy to examine the state of a system in combination with certain types of SA, which may not be based on entropy. This group includes, for example, SA of the working process of heat exchangers [18], the hydraulic reliability of water distribution systems [19], shear stress distribution in a rectangular channel [20], creep of soft marine soil [21], air energy storage systems in coal-fired power plants [22], uncertainties of mathematical decision-making models [23][24][25][26][27], and many others.…”

Section: Introductionmentioning

confidence: 99%

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Global Sensitivity Analysis Based on Entropy: From Differential Entropy to Alternative Measures

Kala¹

2021

Entropy

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Differential entropy can be negative, while discrete entropy is always non-negative. This article shows that negative entropy is a significant flaw when entropy is used as a sensitivity measure in global sensitivity analysis. Global sensitivity analysis based on differential entropy cannot have negative entropy, just as Sobol sensitivity analysis does not have negative variance. Entropy is similar to variance but does not have the same properties. An alternative sensitivity measure based on the approximation of the differential entropy using dome-shaped functionals with non-negative values is proposed in the article. Case studies have shown that new sensitivity measures lead to a rational structure of sensitivity indices with a significantly lower proportion of higher-order sensitivity indices compared to other types of distributional sensitivity analysis. In terms of the concept of sensitivity analysis, a decrease in variance to zero means a transition from the differential to discrete entropy. The form of this transition is an open question, which can be studied using other scientific disciplines. The search for new functionals for distributional sensitivity analysis is not closed, and other suitable sensitivity measures may be found.

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“…Multicriteria decision making approaches (MCDM) are widely exploited in different contexts. Recently they were applied to assess construction labours' safety level (Mohandes et al, 2020), to rank observation locations for autonomous robot environment exploration tasks (Semenas & Bausys, 2020), to reflect the psychometric features of the Visual Analogue Scales (Lescauskiene et al, 2020), to increase the accuracy of the checklistsbased quantitative heuristic evaluation (Zavadskas et al, 2021) or to detect edges in satellite images (Bausys et al, 2020). However, there are only a few examples of the MCDM applications in the growing video game industry, and most of them are dedicated to rank the credibility of the e-sport players (Pradhan & Abdourazakou, 2020;Urbaniak et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Participant Trustworthiness Analysis in the Game-Based Urban Planning Processes by Promethee-MGQNN Approach

Baušys

Leščauskienė

Semėnas

2021

Journal of Civil Engineering and Management

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Serious games together with the gamified and the game-based surveys (GBS), offer an engaging way to increase citizens’ participation in urban planning projects. However, there is always the risk of untrustworthy participants, which can decrease the overall reliability of the game-based research. Trustworthiness analysis is a highly challenging task since the neuropsychology of the GBS respondents and the infinite amount of their possible in-game actions causes many uncertainties in the data analysis. The novel MCDM approach PROMETHEE-mGqNN (PROMETHEE under m-generalised q-neutrosophic numbers) is proposed in this paper as the solution to the described problem. Five criteria that might be automatically calculated from the in-game data are proposed to construct the decision matrix to identify the untrustworthy respondents. The game-based survey “Parkis” developed to assess the safety and attractiveness of the urban public park “Missionary Garden” (Vilnius, Lithuania) is proposed as the case study of this research. By applying the proposed methodology, we calculated the trustworthy index value and noticed that it is capable of detecting the behavioural tendencies of the GBS players.

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VASMA Weighting: Survey-Based Criteria Weighting Methodology that Combines ENTROPY and WASPAS-SVNS to Reflect the Psychometric Features of the VAS Scales

Cited by 21 publications

References 47 publications

Model of Choice Photovoltaic Panels Considering Customers’ Expectations

Model of Choice Photovoltaic Panels Considering Customers’ Expectations

Global Sensitivity Analysis Based on Entropy: From Differential Entropy to Alternative Measures

Participant Trustworthiness Analysis in the Game-Based Urban Planning Processes by Promethee-MGQNN Approach

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