Ranking Objects from Individual Linguistic Dual Hesitant Fuzzy Information in View of Optimal Model-Based Consistency and Consensus Iteration Algorithm

2023 | Group Decision and Negotiation | Citations: 0

Authors: Meng, Fanyong; Zeng, Aiqing; Tang, Jie; Pedrycz, Witold

Abstract: Linguistic variables are flexible and intuitive attraction for expressing the wo ... Expand

Abstract: Linguistic variables are flexible and intuitive attraction for expressing the wording of decision makers. This paper introduces a new type of linguistic fuzzy sets called linguistic dual hesitant fuzzy sets to express the hesitancy of decision makers’ qualitative preferences and non-preferences. Considering the application in decision making, linguistic dual hesitant fuzzy preference relations (LDHFPRs) are introduced that permit the decision makers to apply several linguistic variables to indicate a qualitative preferred judgment and a qualitative non-preferred judgment, respectively. To rank objects from LDHFPRs rationally, a consistency concept is first presented. Then, two optimal models are built to judge the consistency of LDHFPRs. When LDHFPRs are inconsistent, an optimal model-based iteration algorithm for obtaining consistent LDHFPRs is offered. Based on consistent linguistic intuitionistic fuzzy preference relations, a method for calculating the weighted linguistic intuitionistic fuzzy priority vector is introduced. In the setting of group decision making (GDM), a consensus measure based on individually weighted consistent reverse complementary linguistic intuitionistic fuzzy preference relations is defined. When the consensus does not satisfy the requirement, a two-step optimal model-based method for increasing the consensus level is offered. Furthermore, an approach for GDM with LDHFPRs is developed. Finally, an illustrative example concerning the evaluation of basic services internet enterprise websites is provided to show the efficiency of the new method. Collapse

Topics: internet technology decision making website fuzzy logic

Methods: computational algorithm hierarchical linear modeling VIKOR method trade-off analysis method

Theories: fuzzy set theory

A Novel CRITIC-RS-VIKOR Group Method with Intuitionistic Fuzzy Information for Renewable Energy Sources Assessment

2023 | Group Decision and Negotiation | Citations: 0

Authors: Tripathi, Dinesh Kumar; Nigam, Santosh K.; Cavallaro, Fausto; Rani, Pratibha; Mishra, Arunodaya Raj; Hezam, Ibrahim M.

Abstract: This study aims to propose a new group multi-attribute decision-analysis (MADA) ... Expand

Abstract: This study aims to propose a new group multi-attribute decision-analysis (MADA) model to prioritize the renewable energy sources (RESs) from sustainability perspectives. The selection of RESs can be considered as a MADA problem due to considering the numerous conflicting sustainability indicators/factors. In this regard, we propose an integrated decision-making framework with the “criteria importance through inter-criteria correlation (CRITIC)”, the “rank sum (RS)” and the “Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR)” approaches with intuitionistic fuzzy information called the “IF-CRITIC-RS-VIKOR” model. In the developed model, the CRITIC is applied to derive the objective weights, while the RS model is used to compute the subjective weights of the considered sustainability indicators. Further, an incorporated weight-determining formula is presented by combining the CRITIC and RS models under intuitionistic fuzzy environment. Moreover, the VIKOR method is employed to rank the candidate RESs by means of several sustainability indicators. In this line, new intuitionistic fuzzy distance measures are proposed to calculate the “group utility (GU)” and “individual regret (IR)” degrees of candidate RESs. Based on the obtained results, the most significant factors for RESs assessment are impact on ecosystem, technology cost and efficiency, respectively. The assessment outcomes show that the wind energy can serve as an effective RES followed by the solar energy, biomass energy and small hydel energy. Furthermore, comparative study and sensitivity analysis are discussed to show the utility and reasonability of the proposed method. Collapse

Topics: evaluation criteria decision making IT investment

Methods: trade-off analysis method VIKOR method sensitivity analysis cross sectional research case study

A Multi-criteria Group Decision Making Based on Possibility Degree Matrix and $$\mathbb {ZPDHL}$$-VIKOR Method

2023 | Group Decision and Negotiation | Citations: 0

Authors: Xian, Sidong; Qing, Ke; Tang, Ling; Pan, Huilan

Abstract: In this paper, we firstly put forward a new linguistic set called Z-probabilisti ... Expand

Abstract: In this paper, we firstly put forward a new linguistic set called Z-probabilistic double hierarchy linguistic term set (Z-PDHLTS) based on Z-number, which considers both the complexity of linguistic variables and the credibility of evaluation information. Then, a new comparison method of Z-PDHLTS based on possibility degree is put forward to compare the size of two sets. In addition, a possibility degree matrix method and $$\mathbb {ZPDHL}$$-VIKOR method for multi-criteria group decision making problem with Z-PDHLTS are proposed to rank alternatives. Finally, an example of green mine selection is used and some comparative analyses are made to explain its effectiveness. Collapse

Topics: decision making

Methods: trade-off analysis method TOPSIS cross sectional research VIKOR method business process modeling

SSP COPRAS Based Approach Towards Sustainability Assessment in Healthcare

2022 | Americas Conference on Information Systems | Citations: 0

Authors: Wątróbski, Jarosław; Bączkiewicz, Aleksandra; Rudawska, Iga

Abstract: Researchers have a growing concern about assessing sustainability performance i ... Expand

Abstract: Researchers have a growing concern about assessing sustainability performance in various industries, including healthcare. However, there is no consensus on evaluating the sustainability of healthcare systems, especially regarding the social pillar. Therefore, this paper aims to develop a conceptual and structured framework that can measure the level of social sustainability of healthcare systems. Using a novel approach SSP-COPRAS, based on The Complex Proportional Assessment method, the work offers new insight into the comprehensive assessment of core dimensions of social sustainability (equity, quality, responsiveness, financial coverage, adaptability) in healthcare systems. The proposed approach can also guide crossnational comparisons, supporting health policy leaders in decision-making. The research findings reveal that the most socially sustainable systems are those in Norway, the Netherlands, Germany, Belgium, and France. On the contrary, the most unsustainable systems are those located in central and eastern European countries (Poland, Hungary, Latvia). Collapse

Topics: health information system Python decision making evaluation criteria green IS

Methods: simulation descriptive statistic computational algorithm trade-off analysis method VIKOR method

Input data preprocessing for the MCDM model: COPRAS method case study

2021 | Americas Conference on Information Systems | Citations: 0

Authors: Kizielewicz, Bartłomiej; Więckowski, Jakub; Shekhovtsov, Andrii; Ziemba, Ewa; Wątróbski, Jarosław; Sałabun, Wojciech

Abstract: Multi-Criteria Decision-Making (MCDM) methods are widely used in many areas and ... Expand

Abstract: Multi-Criteria Decision-Making (MCDM) methods are widely used in many areas and disciplines. At the same time, they give the strong methodical background of many decision support systems. However, an important and current research issue remains the obtaining reliable results of individual MCDM methods. In this paper, the influence of the used decision matrix normalization method on the obtained rankings is studied on the example of applying the COPRAS method. Five methods are used to normalize matrices of different sizes. The rankings obtained by performing multiple assessments of alternatives are then compared using selected similarity coefficients. The influence of normalization on the final rankings is noticed, which is confirmed by diverse correlations. Collapse

Methods: descriptive statistic computational algorithm cluster analysis VIKOR method trade-off analysis method

Big data management in healthcare: Adoption challenges and implications

2020 | International Journal of Information Management | Citations: 8

Authors: Chen, Peng-Ting; Lin, Chia-Li; Wu, Wan-Ning

Abstract: The computerized healthcare information system has undergone tremendous advancem ... Expand

Abstract: The computerized healthcare information system has undergone tremendous advancements in the previous two decades. Medical institutions are paying further attention to the replacement of traditional approaches that can no longer handle the increasing amount of patient data. In recent years, the healthcare information system based on big data has been growing rapidly and is being adapted to medical information to derive important health trends and support timely preventive care. This research aims to evaluate organization-driven barriers in implementing a healthcare information system based on big data. It adopts the analytic network process approach to determine the aspect weight and applies VlseKriterijumska Optimizacija I Kzompromisno Resenje (VIKOR) to conclude a highly appropriate strategy for overcoming such barriers. The proposed model can provide hospital managers with forecasts and implications that facilitate the withdrawal of organizational barriers when adopting the healthcare information system based on big data into their healthcare service system. Results can provide benefits for increasing the effectiveness and quality of the healthcare information system based on big data in the healthcare industry. Therefore, by understanding the sequence of the importance of resistance factors, managers can formulate efficient strategies to solve problems with appropriate priorities. Collapse

Topics: big data innovation management health information system internet of things mobile system

Methods: qualitative interview survey personal interview simulation VIKOR method

Interval-Valued Atanassov Intuitionistic Fuzzy CODAS Method for Multi Criteria Group Decision Making Problems

2019 | Group Decision and Negotiation | Citations: 0

Authors: Yeni, Fatma Betül; Özçelik, Gökhan

Abstract: The paper presents a fuzzy extension of CODAS (COmbinative Distance-Based ASsess ... Expand

Abstract: The paper presents a fuzzy extension of CODAS (COmbinative Distance-Based ASsessment) method which is called as interval-valued Atanassov intuitionistic fuzzy CODAS (IVAIF-CODAS) method for group decision making processes. The extended method considers interval-valued Atanassov intuitionistic fuzzy sets (IVAIFSs) to define the judgements of decision-makers and uses interval-valued Atanassov intuitionistic fuzzy weighted aggregation operator to aggregate the evaluations of decision makers. Due to the abilities of IVAIFS in modeling of uncertainty, the extended method can be readily applied to many decision problems under fuzzy circumstances. In the study, a personnel selection problem is handled to show applicability of the IVAIF-CODAS method. Computational analysis is performed by using three different well-known IVAIF-based multi criteria group decision making (MCGDM) methods in order to test the stability and validity of the outputs. The proposed method is an easy to use and an effective tool in terms of producing as robust results as other methods and requiring relatively less effort. Collapse

Topics: decision making

Methods: TOPSIS trade-off analysis method descriptive statistic sensitivity analysis VIKOR method

Theories: fuzzy set theory

Interval-Valued Intuitionistic Fuzzy WASPAS Method: Application in Reservoir Flood Control Management Policy

2018 | Group Decision and Negotiation | Citations: 0

Authors: Mishra, Arunodaya Raj; Rani, Pratibha

Abstract: Interval-valued intuitionistic fuzzy sets (IVIFSs) are very flexible tool to cop ... Expand

Abstract: Interval-valued intuitionistic fuzzy sets (IVIFSs) are very flexible tool to cope with the uncertainty arises in multi-criteria decision making (MCDM) problems. In recent times, MCDM problems with interval-valued intuitionistic fuzzy information have achieved more attention from researchers in different areas and consequently, several MCDM methods have been extended for IVIFSs. In this paper, a novel approach based on WASPAS method is developed under IVIFSs. The developed method is based on the operators of IVIFSs, some amendments in the classical WASPAS method and a new process for calculation of criteria and decision experts’ weights. In process for calculating weights, new procedures is propoesd to compute the decision experts’ weights and criteria weights based on interval-valued intuitionistic fuzzy information measures (entropy, divergence and similarity measures) to achieve more realistic weights. Innovative information measures are developed based on the exponential function for IVIFSs to determine the weights of the criteria and decision experts. Since the uncertainty is an unavoidable feature of MCDM problems, the developed method can be a constructive tool for decision-making in an uncertain environment. Further, an uncertain decision making problem of reservoir flood control management policy is implemented with interval-valued intuitionistic fuzzy information, which reveals the effectiveness and reliability of the proposed IVIF-WASPAS method. To validate the result, comparative analysis with existing methods and sensitivity analysis are presented under interval-valued intuitionistic fuzzy environment. Collapse

Topics: decision making

Methods: trade-off analysis method VIKOR method sensitivity analysis descriptive statistic cross sectional research

Developing a Group Decision Support System for Advertising Media Evaluation: A Case in the Middle East

2016 | Group Decision and Negotiation | Citations: 0

Authors: Tafreshi, Parham Fami; Aghdaie, Mohammad Hasan; Behzadian, Majid; Abadi, Mahdieh Ghani

Abstract: The importance of advertising media evaluation as a multifaceted problem is well ... Expand

Abstract: The importance of advertising media evaluation as a multifaceted problem is well known by both academics and practitioners. Although previous studies tried to optimize media evaluation, there still are some gaps and problems to address, particularly in areas of flexibility of models/frameworks, decision making quality, tension management, and agility of the evaluation process. Most of previous studies are based on inflexible models/frameworks that have limitations on number of criteria/alternatives they can consider and type of data they can process. A great volume of the work used arbitrary decision making; arbitrary decision making regarding criteria and media importance may reduce effectiveness of advertising campaigns. Furthermore, the academic literature offers little guidance on group decision aggregation, and tension management during decision making is neglected. Media evaluation is a time taking process and any acceleration will reduce pre-campaign costs. The main aim of this paper is to illustrate how a group decision support system (GDSS) can assist media planners to overcome mentioned problems more systematically. For this purpose, we developed a GDSS that is an integration of three well-known multi-criteria decision making techniques. With a real world case study, we illustrate the performance of the proposed GDSS. Results of our quantitative assessments indicate that the GDSS is flexible, allows decision makers to express their opinions, reduces tension among decision makers, and saves time. Collapse

Topics: group decision support system advertising management decision making anonymity marketing management

Methods: case study trade-off analysis method VIKOR method survey mathematical model

A multidimensional approach to information security risk management using FMEA and fuzzy theory

2014 | International Journal of Information Management | Citations: 7

Authors: Silva, Maisa Mendonça; de Gusmão, Ana Paula Henriques; Poleto, Thiago; Silva, Lúcio Camara e; Costa, Ana Paula Cabral Seixas

Abstract: a b s t r a c tBecause of the evolution and widespread use of the Internet, org ... Expand

Abstract: a b s t r a c tBecause of the evolution and widespread use of the Internet, organisations are becoming more susceptible to attacks on Information Technology Systems. These attacks result in data losses and alterations, and impact services and business operations. Therefore, to minimise these potential failures, this paper presents an approach to information security risk management, encompassing Failure Mode and Effects Analysis (FMEA) and fuzzy theory. This approach analyses five dimensions of information security: access to information and systems, communication security, infrastructure, security management and secure information systems development. To illustrate the proposed model, it was applied to a University Research Group project. The results show that the most important aspects of information security risk are communication security, followed by infrastructure. Collapse

Topics: information security risk data security fuzzy logic electronic mail office information system

Methods: multidimensional modeling VIKOR method trade-off analysis method

Theories: fuzzy set theory failure mode and effects analysis