Web Service Usability Analysis Based on User Preferences

Fabisiak, Luiza

doi:10.4018/joeuc.2018100101

Cited by 81 publications

(68 citation statements)

References 9 publications

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“…Hierarchical analysis adopts the layer of factors above each level as the basis of evaluation for the next level -that is, any two factors of a certain level will serve as the criterion of the above level. The relative contribution or importance of these two factors will be evaluated (that is, the relative weight value) [24][25][26]. In this process of comparison between each two factors, the complicated problems will be decomposed into pairs of comparisons, so that evaluators, when facing multiple factors, can focus on the important relationship between each two factors [27,28]:…”

Section: Theory Of the Ahp Methodsmentioning

confidence: 99%

Using a Novel Method to Evaluate the Performance of Human Resources in Green Logistics Enterprises

Tsai

Wang

2019

Ecological Chemistry and Engineering S

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The essence of low-carbon logistics is to make logistics capacity grow moderately to meet the requirements of social and economic developments and the goals of energy conservation and carbon reduction through logistics planning and policies, logistics rationalization and standardization, logistics informationization, low-carbon logistics technologies, etc. This study evaluates the performances of human resources in low-carbon logistics enterprises from three assessment facets: work ability, work performance, and work attitude. It adopts the AHP method to reasonably determine an indicator system of performance evaluation and its weight to avoid certain human-caused bias. According to the results herein, the low-carbon work attitude of the case company in recent years has produced good performance, but its low-carbon work performance and low-carbon work ability are both poor. The case company should practically implement and strengthen these indicators so as to enhance human resource performance in low-carbon logistics enterprises. This study establishes a human resources performance evaluation system for low-carbon logistics enterprises to measure the low-carbon working ability, work performance, and working attitude of their general staff. In this way, enterprises may understand their development status, improve development plans, and formulate the best human resources management and development decisions, thus positively guiding their future development.

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Section: Theory Of the Ahp Methodsmentioning

confidence: 99%

Using a Novel Method to Evaluate the Performance of Human Resources in Green Logistics Enterprises

Tsai

Wang

2019

Ecological Chemistry and Engineering S

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“…erefore, this paper studies the optimal FKE strategy of fresh produce retailers. Before discussing this issue, it is necessary to study the characteristics and regularity of the freshness change of fresh produce [43][44][45][46].…”

Section: Problem Description and Hypothesismentioning

confidence: 99%

A Research on Fresh-Keeping Strategies for Fresh Agricultural Products from the Perspective of Green Transportation

Liu

et al. 2020

Discrete Dynamics in Nature and Society

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This paper studies the impact of fresh-keeping effort (FKE) investment strategies from the perspective of green transportation on a fresh-product supply chain (FSC) system for the purpose of reducing the emission of harmful gases and waste of resources. A supplier–buyer structure in an FSC system is modeled under two approaches consisting of the fixed FKE model and the variable FKE model. Then the paper analyzes the effect of optimal FKE level on retailer’s profit and product freshness under two different approaches, and finds that there is space to be improved in the two approaches which were further optimized. Finally, the proposed models are approved with a dataset from a real-life case study. Under the above two approaches, not only profits can be increased in retail enterprises but also the freshness level of fresh agricultural products (FAP) can be improved and reduced the consumption of resources. The results show that there is an optimal investment level of FKE under different strategies, and the maximum profit could be obtained by keeping fresh at this level. Moreover, the fixed FKE will not increase the average freshness of fresh produce in a sales cycle, and the adjusted FKE can effectively improve the average freshness.

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“…Many methods are presented to update the status with collected information, including Beyasian updating rule, Dempster combination rule, negation, dynamic model such as DEMATEL, neural model, and so on . The likelihood function is first defined as the product of probabilities.…”

Section: Preliminariesmentioning

confidence: 99%

A new soft likelihood function based on power ordered weighted average operator

Song

Deng

2019

Int J Intell Syst

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The likelihood function is widely used in data processing but the classical likelihood function is too strict to deal with data with extreme values in real applications.To address this issue, a soft likelihood function based on power ordered weighted average (POWA) operator for probability distribution is proposed. Compared with the existing soft likelihood functions, one of the main features of the proposed likelihood function is that the weighted mean is displayed by the geometric mean of the weighted probability products. As a result, the effect on final result caused by extreme data can be efficiently decreased. Numerical examples are used to illustrate the efficiency of the proposed soft likelihood function. K E Y W O R D S geometric mean, likelihood function, OWA operator, POWA operator, soft likelihood function | INTRODUCTIONDealing with uncertainty information plays an important role in real applications. 1-3 Many math tools, such as fuzzy sets, 4-6 rough sets, 7 Z-numbers, 8-11 belief structures, 12-14 D numbers 15-17 entropy function, 18,19 and evidence theory, 20-22 are presented to handle different types of uncertainty information. Among these tools, probability is heavily studied and is widely used in many applications, including decision making, 23-26 estimation, 27,28 and uncertain measurement. [29][30][31][32] One of the most used models in probability is the likelihood function, which is used when data are available to describe plausibility of a parameter value. [33][34][35] However, it is very strict in real applications since the original likelihood function made up with the probability product is too strict to show the compatibility probabilities for the different pieces of evidence since any piece of probabilities, which are low-value would greatly reduce the likelihood function.How to cite this article: Song Y, Deng Y. A new soft likelihood function based on power ordered weighted average operator. Int J Intell

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Web Service Usability Analysis Based on User Preferences

Cited by 81 publications

References 9 publications

Using a Novel Method to Evaluate the Performance of Human Resources in Green Logistics Enterprises

Using a Novel Method to Evaluate the Performance of Human Resources in Green Logistics Enterprises

A Research on Fresh-Keeping Strategies for Fresh Agricultural Products from the Perspective of Green Transportation

A new soft likelihood function based on power ordered weighted average operator

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