TODIM and TOPSIS with Z-numbers

Krohling, Renato A.; Pacheco, André G. C.; Santos, Guilherme Artem dos

doi:10.1631/fitee.1700434

Cited by 60 publications

(33 citation statements)

References 36 publications

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“…Referring to Table 5, the comparison weights of criteria of established and proposed models are presented. Z-AHP [8] and Z-TOPSIS [29] give same ranking results for criteria with O>PE>S-C>ES>P, but different with proposed model which the ranking results of criteria is PE>O>S-C>P>ES. Both Z-AHP [8] and Z-TOPSIS [29] evaluate criteria simply by getting the aggregation results from several decision matrices The authors prefer to utilise consistent fuzzy preference relations technique order to avoid misleading solution in expressing the decision makers' opinions by means of preference relations.…”

Section: Phase 2: Fuzzy Weights Evaluation Using Consistent Fuzzy Prementioning

confidence: 60%

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Hybrid fuzzy MCDM model for Z-numbers using intuitive vectorial centroid

Khalif

Gegov

Bakar

2017

IFS

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This paper presents a hybrid fuzzy multi criteria decision making model for z-numbers using intuitive vectorial centroid. There are two novelty discuss here: 1) development of intuitive vectorial centroid defuzzification and; 2) development of hybrid fuzzy multi criteria decision making model based on consistent fuzzy preference relations and fuzzy technique for order performance by similarity to ideal solution for z-numbers. The implementation of z-numbers is taken into consideration, where it has more authority to describe the knowledge of human being and extensively used in the uncertain information development to deal with linguistic decision making problems. Fuzziness is not sufficient enough when dealing with real information and a degree of reliability of the information is very critical. It also highlights the combination of z-numbers with multi criteria decision making techniques allow the use of fuzzy linguistic by considering the need of human intuition in decision making problems. The proposed methodology is applied to staff recruitment problem.

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Section: Phase 2: Fuzzy Weights Evaluation Using Consistent Fuzzy Prementioning

confidence: 60%

“…The values of attributes correspond to z-numbers. The proposed model is compared with Z-AHP [8] and Z-TOPSIS [29] from the literature for comparative study.…”

Section: Case Studymentioning

confidence: 99%

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Hybrid fuzzy MCDM model for Z-numbers using intuitive vectorial centroid

Khalif

Gegov

Bakar

2017

IFS

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“…Compared with the classical fuzzy set, the Z-number takes into account the uncertainty in information generation process and the reliability of information. At present, it has been combined with many MCDM methods such as TOPSIS [36,37], VIKOR [38], Multi-Objective Optimization by Ratio Analysis (MOORA) [39], COmbinative Distance-based Assessment (CODAS) [40], PROMETHEE [41], TODIM (an acronym in Portuguese of interactive and multicriteria decision-making) [37], AHP [42], BWM [43] and Data Envelopment Analysis (DEA) [44]. 1] are two TFNs, we can convert the Z-number to an ordinary fuzzy number [45].…”

Section: Z-numbermentioning

confidence: 99%

Sustainable Cloud Service Provider Development by a Z-Number-Based DNMA Method with Gini-Coefficient-Based Weight Determination

et al. 2020

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The sustainable development of cloud service providers (CSPs) is a significant multiple criteria decision making (MCDM) problem, involving the intrinsic relations among multiple alternatives, (quantitative and qualitative) decision criteria and decision-experts for the selection of trustworthy CSPs. Most existing MCDM methods for CSP selection incorporated only one normalization technique in benefit and cost criteria, which would mislead the decision results and limit the applications of these methods. In addition, these methods did not consider the reliability of information given by decision-makers. Given these research gaps, this study introduces a Z-number-based double normalization-based multiple aggregation (DNMA) method to tackle quantitative and qualitative criteria in forms of benefit, cost, and target types for sustainable CSP development. We extend the original DNMA method to the Z-number environment to handle the uncertain and unreliability information of decision-makers. To make trade-offs between normalized criteria values, we develop a Gini-coefficient based weighting method to replace the mean-square-based weighting method used in the original DNMA method to enhance the applicability and isotonicity of the DNMA method. A case study is conducted to demonstrate the effectiveness of the proposed method. Furthermore, comparative analysis and sensitivity analysis are implemented to test the stability and applicability of the proposed method.Sustainability 2020, 12, 3410 2 of 17 future generations to meet their own needs" [2]. Sustainability requires sustainable business practices. For doing so, information systems play an important role in the organization transition towards sustainability initiatives. The sustainable information systems have been considered as an opportunity for organizations to improve productivity, reduce costs, and increase profitability [3]. The flexible, elastic and agile nature of cloud computing provides an opportunity for governmental, academic and business organizations to consider migrating their existing applications to cloud environments to make their business processes agile with minimal cost and management effort [4]. Due to the increase in the number of cloud service providers (CSPs) offering functionally similar cloud services with varying cost, features and quality, it becomes extremely complex and burdensome to select a dependable, scalable, sustainable and high cost-effective cloud service for consumers to fulfil and satisfy their requirements and business strategies. There is a pressing need of comprehensive techniques to help them for the sustainable CSP development [5,6].Sustainable CSP development can be formulated as a multicriteria decision-making (MCDM) problem [5]. It involves the intrinsic relations among multiple alternatives, (quantitative and qualitative) decision criteria and experts for selecting the trustworthy CSPs. Moreover, the CSP evaluation data often involves uncertain, unreliability, multi-scale and imprecise weights of quality of service (QoS)...

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“…et al[49] [50] elaborate in detail the application of Z-number in an uncertain environment. Krohling et al[51] show the application of Z-number with phasified methods TOPSIS and TODIM. Sahrom and Dom[52] elaborate a hybrid model using the AHP-Z-number-DEA method, while Azadeh and Kokabi[53] use the DEA method with Z-number.…”

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confidence: 99%

Ranking and Assessment of the Efficiency of Social Media using the Fuzzy AHP-Z Number Model - Fuzzy MABAC

Bobar¹,

Božanić²,

Djurić³

et al. 2020

ACTA POLYTECH HUNG

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Methods of ranking and evaluation of the effectiveness of Social Media (SM) given and applied in this paper are the basis for the selection of online media that the public administration uses when communicating with citizens. The methodology presented is based on multicircular decision-making using the Fuzzy Analytical Hierarchical Process (fuzzy AHP) -Z number model -Fuzzy Multi-Attributive Border Approximation Area Comparison (fuzzy MABAC), which eliminates the traditional intuitive ratings of PR services. This resulted in poor use of available channels of communication or ineffective communication. Positive results of the application of presented methods are especially evident in increasing the number of channels of communication on the Internet and the realization of communication goals for greater participation of citizens in public administration. Z. Bobar et al. Ranking and Assessment of the Efficiency of Social Media using the Fuzzy AHP-z Number Model -Fuzzy MABAC -44 -where social media is seen to transform the relationship of public service and the citizenry [2]. In the process of communication with public, government institutions and businesses are not able to use the virtually unlimited number of media available on the Internet with equal efficiency. The selection of social media to be used as a communication channel ensuring reach amongst the targeted public online with desired efficiency is one of the challenges faced by these services in implementing a given communication strategy.In line with the new trends in the usage of social media for business purposes, a series of studies have examined the justification of using social media in the communication of public administration with the citizenry. Some focused on functional availability [3], benefits and risks [4], and the impact of social media use [5]. The common trait found in all these studies is the analysis and assessment of multiple social media according to a single criterion, or the analysis and evaluation of a single social media based on multiple criteria. However, communicators are often confronted with the need to choose among available social media. They have to identify the criteria and the methodology for making such a choice to reduce the risk of failure in communicating via social media.Considering the trends in social media usage and the perspective of involving such media in the activities of public administration as well as that of other organizations, the aim of this research is:1. To define the general criteria for choosing social media for communication between government bodies and the target public; and 2. To develop the methodology for social media ranking in view of the selection of a particular communication channel suited to a communication strategy.This paper examines the various options for rating and ranking social media by using parameters that influence the efficiency of communication, defined on the grounds of criteria partially used in the evaluation and ranking of social media, as well as on expert assessments...

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TODIM and TOPSIS with Z-numbers

Cited by 60 publications

References 36 publications

Hybrid fuzzy MCDM model for Z-numbers using intuitive vectorial centroid

Hybrid fuzzy MCDM model for Z-numbers using intuitive vectorial centroid

Sustainable Cloud Service Provider Development by a Z-Number-Based DNMA Method with Gini-Coefficient-Based Weight Determination

Ranking and Assessment of the Efficiency of Social Media using the Fuzzy AHP-Z Number Model - Fuzzy MABAC

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