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Article
Publication date: 10 December 2024

Jifeng He, Luhong Gao and Shouzhen Zeng

Accurately identifying the risk of poverty-returning is a complex and critical challenge in current poverty alleviation efforts. However, there is currently no study on evaluation…

18

Abstract

Purpose

Accurately identifying the risk of poverty-returning is a complex and critical challenge in current poverty alleviation efforts. However, there is currently no study on evaluation methods for the risk of poverty-returning. This study aims to establish a robust and systematic approach for an evaluation framework for the risk of poverty-returning.

Design/methodology/approach

Based on relevant assessment criteria, a maximum deviation method was established to identify the weights of the indicators. A complex evaluation methodology using prospect theory (PT), a q-rung orthopair fuzzy set (QrOFS) and evaluation relying on distance from average solution [EDAS] (QrOFS-PT-EDAS) was developed to evaluate the poverty-returning risks. Some policy recommendations to reduce the risk of poverty-returning have also been put forward.

Findings

His study identifies the risk factors of poverty relapse from nine aspects, including natural disasters, accidents and policy-driven poverty relapse. In addressing the evaluation challenge arising from uncertain decision-making, the QrOFS aligns more with people’s thinking habits and expression methods in complex environments. The proposed hybrid evaluation framework accurately measures the poverty-returning risk, which is beneficial for the formulation of policy recommendations.

Originality/value

A scientific and comprehensive assessment system index for poverty-returning is constructed. A hybrid QrOFS-PT-EDAS framework is presented to make the evaluation results more scientific and objective. Several strategic recommendations for reducing the poverty-returning risk are presented. This study offers a novel framework for assessing poverty-returning issues that can be extended to many other areas.

Details

International Journal of Intelligent Computing and Cybernetics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1756-378X

Keywords

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Article
Publication date: 2 April 2024

Minyan Wei, Juntao Zheng, Shouzhen Zeng and Yun Jin

The main aim of this paper is to establish a reasonable and scientific evaluation index system to assess the high quality and full employment (HQaFE).

197

Abstract

Purpose

The main aim of this paper is to establish a reasonable and scientific evaluation index system to assess the high quality and full employment (HQaFE).

Design/methodology/approach

This paper uses a novel Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) multi-criteria framework to evaluate the quality and quantity of employment, wherein the integrated weights of attributes are determined by the combined the Criteria Importance Through Inter-criteria Correlation (CRITIC) and entropy approaches.

Findings

Firstly, the gap in the Yangtze River Delta in employment quality is narrowing year by year; secondly, employment skills as well as employment supply and demand are the primary indicators that determine the HQaFE; finally, the evaluation scores are clearly hierarchical, in the order of Shanghai, Jiangsu, Zhejiang and Anhui.

Originality/value

A scientific and reasonable evaluation index system is constructed. A novel CRITIC-entropy-TOPSIS evaluation is proposed to make the results more objective. Some policy recommendations that can promote the achievement of HQaFE are proposed.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 17 no. 3
Type: Research Article
ISSN: 1756-378X

Keywords

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Article
Publication date: 28 November 2024

Dechao Sun, Tahir Mahmood, Ubaid ur Rehman and Shouzhen Zeng

Gathering, analyzing and securing electronic data from various digital devices for use in legal or investigative procedures is the key process of computer forensics. Information…

22

Abstract

Purpose

Gathering, analyzing and securing electronic data from various digital devices for use in legal or investigative procedures is the key process of computer forensics. Information retrieved from servers, hard drives, cellphones, tablets and other devices is all included in this. This article tackles the challenging problem of how to prioritize different kinds of computer forensics and figure out which kind is most useful in cases of cybercrime, fraud, theft of intellectual property, harassment and espionage.

Design/methodology/approach

Therefore, we first introduce enhanced versions of Hamacher power aggregation operators (AOs) within the framework of bipolar complex fuzzy (BCF) sets. These include BCF Hamacher power averaging (BCFHPA), BCF Hamacher power-weighted averaging (BCFHPWA), BCF Hamacher power-ordered weighted averaging (BCFHPOWA), BCF Hamacher power geometric (BCFHPG), BCF Hamacher power-weighted geometric (BCFHPWG) and BCF Hamacher power-ordered-weighted geometric (BCFHPOWG) operators. Employing the devised AOs, we devise a technique of decision-making (DM) for dealing with DM dilemmas with the BCF set (BCFS).

Findings

We prioritize different types of computer forensic by taking artificial data in a numerical example and getting the finest computer forensic. Further, by this example, we reveal the applicability of the proposed theory. This work provides a more elaborate and versatile procedure for classifying computer forensics with dual aspects of criteria and extra fuzzy information. It allows for better and less biased DM in the more intricate digital investigations, which may lead to better DM and time-saving in real-life forensic scenarios. To demonstrate the significance and impression of the devised operators and techniques of DM, they are compared with existing ones.

Originality/value

This research is the first to combine Hamacher and power AOs in BCFS for computer forensics DM. It presents new operators and a DM approach that is not encountered in the existing literature and is specifically designed to deal with the challenges and risks associated with the classification of computer forensics. The framework’s capacity to accommodate bipolar criteria and extra fuzzy information is a major development in the field of digital forensics and decision science.

Details

International Journal of Intelligent Computing and Cybernetics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1756-378X

Keywords

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Article
Publication date: 1 February 2016

Shouzhen Zeng and Yao Xiao

The purpose of this paper is to present a hybrid intuitionistic fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method, called intuitionistic fuzzy…

962

Abstract

Purpose

The purpose of this paper is to present a hybrid intuitionistic fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method, called intuitionistic fuzzy ordered weighted averaging weighted averaging (OWAWA) distance TOPSIS (IFOWAWAD-TOPSIS) method for intuitionistic fuzzy multiple-criteria decision making (MCDM) problems.

Design/methodology/approach

Based on the OWAWA operator, the authors develop the intuitionistic fuzzy OWAWA distance measure, then the IFOWAWAD-TOPSIS method is obtained by using the IFOWAWAD and traditional TOPSIS.

Findings

The developed IFOWAWAD-TOPSIS method can overcome the drawback of traditional TOPSIS method that cannot consider both the subjective information of attributes and the attitudinal character of decision maker.

Research limitations/implications

Clearly, this paper is devoted to the OWA operator, MCDM and intuitionistic fuzzy theory.

Practical implications

The developed method is applicable in a wide range of situations such as decision-making, statistics, engineering and economics. A numerical example concerning investment selection is given to illustrate the practicability and usefulness of the proposed approach.

Originality/value

This paper fulfils an identified need to study how to make a decision considering both the subjective information of attribute and the attitudinal character of decision maker in intuitionistic fuzzy environment.

Details

Kybernetes, vol. 45 no. 2
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 24 May 2013

Shouzhen Zeng

The purpose of this paper is to present a new decision making technique called the uncertain induced Minkowski OWA distance (UIMOWAD) operator.

163

Abstract

Purpose

The purpose of this paper is to present a new decision making technique called the uncertain induced Minkowski OWA distance (UIMOWAD) operator.

Design/methodology/approach

The developed UIMOWAD operator is a new aggregation operator that uses the IOWA operator, the Minkowski distance and interval numbers. It is an extension of the IMOWAD operator that uses uncertain information in the aggregation represented in the form of interval numbers.

Findings

The UIMOWAD operator is very suitable to deal with complex reordering processes that represent a wide range of factors in an uncertain environment that can be assessed with interval numbers.

Research limitations/implications

Clearly, this paper is devoted to the OWA operator and uncertain theory.

Practical implications

The UIMOWAD operator is applicable in a wide range of situations such as decision‐making, statistics, engineering and economics.

Originality/value

This paper fulfils an identified need to study how to make a decision according to expert's interest in uncertain environment.

Details

Kybernetes, vol. 42 no. 5
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 19 October 2015

Shouzhen Zeng, Joaquin Gonzalez and Clemente Lobato

– The purpose of this paper is to analyse the relationships between Web 2.0 adoption, innovation, organizational learning and organizational performance in the hotel industry.

1095

Abstract

Purpose

The purpose of this paper is to analyse the relationships between Web 2.0 adoption, innovation, organizational learning and organizational performance in the hotel industry.

Design/methodology/approach

A sample of four and five-star hotels provides the data. The fieldwork took place between February and June 2013. The questionnaire was sent to top managers of Chinese hospitality firms that provide their e-mail addresses on the main Chinese tourism web pages. The final sample comprises 278 hotels. This percentage of responses yields a sample error of 6.9 per cent for a 95 per cent confidence level. The authors followed a two-step approach for structural equation modelling, using EQS 5.7 software to conduct the tests.

Findings

Results suggest that competitive advantage in the hotel industry requires firm strategies focusing on Web 2.0, innovation capacity and organizational learning. This finding contributes to the strategic management field by offering an explanation of the differences in firm performance within a particular industry. Therefore, the findings mark an important contribution to the literature, introducing a new variable that mediates the relationship between Web 2.0 and firm performance.

Originality/value

The results hold that Web 2.0 adoption is crucial for enhancing innovativeness, which is a fundamental source of sustainable competitive advantage. In addition, organizational learning also has a positive effect on innovativeness. Innovation, which is the essence of competitive advantage, is a key concept for firms nowadays.

Details

Management Decision, vol. 53 no. 9
Type: Research Article
ISSN: 0025-1747

Keywords

Available. Content available
Article
Publication date: 24 May 2013

Anna M. Gil-Lafuente and Jose M. Merigo

308

Abstract

Details

Kybernetes, vol. 42 no. 5
Type: Research Article
ISSN: 0368-492X

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