Job satisfaction evaluation based on  fuzzy conjoint method with continuous fuzzy sets

Shahari, N.; Rasmani, Khairulanwar

doi:10.11591/ijeecs.v19.i1.pp363-370

Cited by 4 publications

(2 citation statements)

References 11 publications

(17 reference statements)

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“…The added costs of using a SIM card are one of these systems' drawbacks. In addition, the user location is unable to store or retrieve large amounts of data [58]- [66].…”

Section: Wireless Communication Technologymentioning

confidence: 99%

Fuzzy logic system for drug storage based on the internet of things: a survey

Othman

Abdulrazzaq²

2023

IJEECS

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<span lang="EN-US">The rapid development of internet of things (IoT) technology over the course of recent history has made it possible to connect a large number of smart things and sensors, as well as to establish an environment in which data can be seamlessly exchanged between them. This has led to an increase in the demand for data analysis and storage platforms such as cloud computing and fog computing. One of the application areas for the internet of things that has garnered a lot of interest from the business world, academic institutions, and the government is healthcare. The IoT and fuzzy logic are being used in the medical business to improve patient safety, the overall quality of care, and the overall efficiency of medical operations. The most important healthcare studies that are pertinent to pharmacies have been used as the basis for this research. The purpose of this research is to investigate recent advancements in medical modules, remotes, and detector patterns, as well as current innovations in IoT and fuzzy logic-based health care, and current policies from around the world, with the intention of determining how well they support the long-term growth of IoT and fuzzy logic in healthcare.</span>

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“…The added costs of using a SIM card are one of these systems' drawbacks. In addition, the user location is unable to store or retrieve large amounts of data [58]- [66].…”

Section: Wireless Communication Technologymentioning

confidence: 99%

Fuzzy logic system for drug storage based on the internet of things: a survey

Othman

Abdulrazzaq²

2023

IJEECS

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“…(Ojokoh et al2020) Proposed fuzzy decision support system based on Henri Fayol's 14 management principles for employee performance evaluation. entropy and failure modes and effects analysis to identify and weigh the most significant barriers to improvement implementation (Shahari & Rasmani, 2020). Continuous fuzzy set method for calculating closeness coefficients in the evaluation of job satisfaction, decreasing the uncertainty of the evaluator.…”

mentioning

confidence: 99%

Application of Fuzzy Indicators for Measuring Employee Performance in Manufacturing Companies

2022

QAS

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The main purpose of manufacturing companies is to achieve the fulfillment of strategies and to increase productivity and competitiveness while adapting to market changes. For this, it is necessary to measure employee and global performance. This article is aimed to analyze the application of fuzzy indicators for measuring employee performance in manufacturing companies, by using a systematic literature review of the works published in scientific databases, from 2008 to 2021. The results show that the use of fuzzy indicators helps to reduce the subjectivity and uncertainty of the evaluator. The application of different fuzzy methods for performance measurement allows to perform an effective evaluation and to make more appropriate decisions with greater impact on global performance.

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Z-number-based conjoint analysis method for analyzing decision-makers’ preference levels in attribute ratings

Razalli¹,

Sulaiman

2021

J. Phys.: Conf. Ser.

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Fuzzy Conjoint Analysis Method (FCAM) is widely used in multi-attribute decision making areas particularly in analyzing decision makers’ preferences towards attributes. Discrete fuzzy sets are commonly used to define the membership function of linguistic values. Nevertheless, the use of discrete fuzzy sets in representing human judgment and preference levels may not be sufficient in describing human preference defined on continuous scale. In FCAM, discrete fuzzy sets or fuzzy numbers are commonly used to represent the linguistic terms that merely describe ratings or levels of satisfaction on attributes based on decision makers’ opinions or preferences. The certainty elements in terms of confidence level associated with decision makers’ judgment and preferences are seldom considered in FCAM. Thus, in this study, Z-numbers which are composed of ratings with certainty components (in the form of confidence level) are integrated in the existing FCAM procedure. In the proposed procedure of Z-number based Conjoint Analysis Method (Z-CAM), preferences described in the form of ratings with confidence levels are expressed in the form Z-numbers. The existing FCAM procedure is slightly modified so as to cater the Z-number input data. Z-CAM has an additional feature in comparison to the existing FCAM whereby in addition to ranking the attributes, the former could also produce overall ratings supported with confidence levels.

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Job satisfaction evaluation based on fuzzy conjoint method with continuous fuzzy sets

Cited by 4 publications

References 11 publications

Fuzzy logic system for drug storage based on the internet of things: a survey

Fuzzy logic system for drug storage based on the internet of things: a survey

Application of Fuzzy Indicators for Measuring Employee Performance in Manufacturing Companies

Z-number-based conjoint analysis method for analyzing decision-makers’ preference levels in attribute ratings

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