Top PDF Fuzzy Soft Sets Supporting Multi-Criteria Decision Processes

Fuzzy Soft Sets Supporting Multi-Criteria Decision Processes

Fuzzy Soft Sets Supporting Multi-Criteria Decision Processes

Students experience various types of difficulties when it comes to examinations, where some of them are subject related while others are more of a psychological character. The former are usually more specific while the latter are more general. Some examples of the latter include anxiety, low level of concentration, increased stress level and sleep disorders, [14], [15]. A large number of factors influencing academic success or failure of university students is listed in [5]. Our intention is to identify students who might be in danger of not being able to complete a particular course at a very early stage of their enrollment and consequently provide them with individual recommendations. Since such processes are usually described in uncertain and unprecised ways handling them with methods from fuzzy soft set theory is proposed in this work. In the soft set theory [12], the initial description of the object has an approximate nature, [13]. Very useful group decision making methods based on intuitionistic fuzzy soft matrices are presented in [10]. In this paper one of their approaches is expended in a way that allows obtaining a set of interesting items that differ from the one with the highest score.
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JISTEM J.Inf.Syst. Technol. Manag.  vol.11 número2

JISTEM J.Inf.Syst. Technol. Manag. vol.11 número2

This work seeks to provide a new multi-criteria approach to assess IT Governance (ITG) in the area of Strategic Alignment. The complete methodological development process is described. The evaluation model uses Fuzzy Analytic Hierarchy Process (FAHP) and it is targeted to IT processes, more specifically to the COBIT © IT maturity levels, domains and processes, thus providing a differentiated analysis of importance for each item. Its relevance is related to addressing isolated and individual evaluation criteria that are normally practiced in audits of processes. The model allows generating information that extends the guarantees of compliance and corporate governance from different organizations. This research demonstrates that the combined use of multi-criteria decision methodologies and soft computing proves to be particularly suitable for Strategic Alignment such as the focal area of COBIT. The model was applied in a big retail Brazilian company.
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Soft sets combined with interval valued intuitionistic fuzzy sets of type-2 and rough sets

Soft sets combined with interval valued intuitionistic fuzzy sets of type-2 and rough sets

The rough set theory proposed by Pawlak[20] provides a systematic method for dealing with vague concepts caused by isdiscernability in situation with incomplete information or a lack of knowledge/data. In general a fuzzy set may be viewed as a class with unsharp boundaries, but a rough set is a coarsely described crisp set[26]. Based on the equivalence relation on the universe of discourse, Dubois andPrade[6] introduced the lower and upper approximation of fuzzy sets in a Pawlak’s approximation space [20] and obtained a new notion called rough fuzzy sets which are natural extensions of rough sets. They also introduced the concept of fuzzy rough sets [6]. Feng el al. [9] provided a framework to combine rough sets and soft sets all together, which gives rise to several interesting new concepts such as soft rough sets and rough soft sets. A rough soft set is the approximation of a soft set in a Pawlak approximation space, where as a soft rough set is based on softrough approximationsin a soft approximation space.Feng[10] presented a soft rough set based multi-criteria group decision making scheme.Motivated by Dubois andPrade’s original idea about rough fuzzy set,Feng et al. [9] introduced lower and upper soft rough approximations of fuzzy sets in a soft approximation space and obtained a new hybrid model called soft rough fuzzy set. By employing a fuzzy soft set to granulate the universe of discourse, Meng et al. [17] introduced a more general model called soft fuzzy rough set.
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Technology Selection of Biogas Digesters for OFMSW via Multi-criteria Decision Analysis

Technology Selection of Biogas Digesters for OFMSW via Multi-criteria Decision Analysis

is small and industrial scales. This was necessary because the selection criteria weigh differently at different scales for example temperature regulation is more important for an industrial scale plant than a small scale plant. In addition, particular technology suppliers only produce plants at certain scales for example most German suppliers only set up plants of 2,000m 3 capacity and over whereas most locally available suppliers are only capable of making 10m 3 as a maximum. The division of scales was guided by the ongoing SANEDI research project and case studies at the University of Johannesburg to design biogas plants utilising the organic fraction of municipal solid waste as discussed in the introduction section of this paper. The project intends to design and implement biogas plants at both pilot and industrial scales. From the current preliminary data obtained, the pilot scale plant is of capacity ranges 10-30m 3 and the industrial scale plants are 400-2000m 3 .
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Lean, Agile, Resilient and Green Supply Chain Management Interoperability Assessment Methodology

Lean, Agile, Resilient and Green Supply Chain Management Interoperability Assessment Methodology

Supply Chain Management has become a tactic asset for the current global competition situation. Innovative strategies such as Lean, Agile, Resilient and Green emerged as a response, requiring high levels of cooperation and of great complexity. However, the strategic alignment of operations with partners in supply chains is affected by lack of interoperability. The present work provides a framework to enhance SC competitiveness and performance by assessing interoperable SCM Practices applied in automotive industry. Through a pragmatic interoperability approach, this methodology describes in detail the form of application using analytical hierarchical process (AHP) and Fuzzy sets as support decision making models, ensuring a systematic approach to the analysis of interoperability with appropriate criteria for assessment of situations that require high levels of collaboration between partners. Through a case study in a Portuguese automaker, it was possible to test the methodology and analyse which areas lack interoperability in the implementation of SCM practices.
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J. Transp. Lit.  vol.7 número3

J. Transp. Lit. vol.7 número3

Public transportation users are constantly in search of regular service, fair cost, high safety, and physical and psychological comfort. Creating a system for bus route evaluation (BRE) can be considered to be among the basic requirements for public transportation management in cities. The need for a logical and scientific tool to support the decisions made by the policy makers of public transportation for the purpose of a higher quality of the services, specifically in a developing metropolitan such as Shiraz, Iran, proves the importance of such a system. In this study, firs, six routes among the 71 bus routes of metropolitan Shiraz were chosen. Subsequently, 16 criteria based on the theoretical literature and the data collected in a survey conducted by the Shiraz Public Bus Organization (SPBO) were produced. Then by using a two-stage multiple-criteria decision making (MCDM) model containing hierarchical Fuzzy Analytical Hierarchal Process (Fuzzy AHP) and TOPSIS methods the data was analyzed and the existing situation of the selected bus routes was evaluated. This study and the presented evaluation framework for the analysis of the current situation along with the comparison of the bus routes can help the managers and policy makers of bus transportation on their way to improving the services, developing the routes, merging the routes, and creating new routes.
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Prod.  vol.25 número1

Prod. vol.25 número1

There are few applications of Multiple-criteria decision-making (MCDM) in total quality management (TQM) context problems in the literature, for instance: a multi-criteria evaluation model to evaluate the expected service quality is proposed within the airport passenger service context (TSAI; HSU; CHOU, 2011), selecting technologies that will support the aims of strategic total quality management (MADU et al., 1996); ranking of critical factors for TQM implementation in Shanghai manufacturing industry (CHIN, 2002); a systematic decision process for selecting external consultant in TQM program (SAREMI; MOUSAVI; SANAYEI, 2008); Selection of lean manufacturing systems (GURUMURTHY; KODALI, 2008), Selecting improvement initiatives and quality management (QM) approaches in three companies in Thailand (THAWESAENGSKULTHAI, 2010) and Quality Function Deployment (QFD) combined with decision support system (ANDRONIKIDIS et al., 2009; BEHZADIAN et al., 2013; KAVOSI; MOZAFFARI; MAVI, 2011).
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Continuous multi-criteria methods for crop and soil conservation planning on La Colacha (Río Cuarto, Province of Córdoba, Argentina)

Continuous multi-criteria methods for crop and soil conservation planning on La Colacha (Río Cuarto, Province of Córdoba, Argentina)

used in modern agricultural applications for optimising land- use strategies with multiple objectives (Agrell et al., 2004; Hengsdijk and van Ittersum, 2002; Nidumolu et al., 2007), for reservoir management (Chang et al., 1995), for trade-off analyses between agriculture, erosion and non-point-source pollution (Lakhsminarayan et al., 1995), for the optimisa- tion of crop distributions (Groot et al., 2007; Gonc¸alvez et al., 2007), for flood control problems (Simonovic and Akter, 2006) and for incentives for the application of river buffer strips (Borin et al., 2010). They are scarcer for Latin Ameri- can developing countries and for the Pampean Region; how- ever several authors have searched for best alternatives of soil use with discrete multi-criteria for distinct regions of Chaco Salte˜no (Grau, 2003; Anton, 2006; Anton et al., 2010; Grau et al., 2007, 2008, 2009, 2010). Several works can be found on rural areas and roads (de Prada et al., 1994), local effects and policies (Cantero et al., 1998; de Prada and Penna, 2009), MCDM for small watershed (Zhen et al., 2007; Paneque Sal- gado et al., 2006), planning in agro-areas (Smith and McDon- ald, 1998) and for various objectives in agricultural policies
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O uso do método PROMETHEE para seleção de candidatos à bolsa-formação do Pronatec.

O uso do método PROMETHEE para seleção de candidatos à bolsa-formação do Pronatec.

candidatos, garante uma seleção melhor, que, neste caso, corresponde a candidatos que, além de atender aos critérios sociais estabelecidos pelo programa, atende também ao perfil demandado por esse tipo de formação e pelo setor produtivo no qual espera-se o ingresso desses profissionais. Nesse sentido, a análise multicritério de apoio à decisão (MCDA – Multi-Criteria Decision Analysis) se apresenta como uma ferramenta poderosa para auxiliar a seleção de candidatos aos cursos do Senai, particularmente aqueles que ingressam por meio do Pronatec, pois auxilia na estruturação do problema, na avaliação dos candidatos e na seleção propriamente dita, a qual garante a consideração de todos os critérios estabelecidos pelos envolvidos na decisão. Além disso, a técnica ajuda a promover a imparcialidade da decisão pública, a qual é prevista pela Constituição Federal do Brasil, em seu artigo 37.
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A Model for Systematic Analysis of Multi-Criteria Decision Problems in Construction

A Model for Systematic Analysis of Multi-Criteria Decision Problems in Construction

The evaluation methodology of the proposed decision analysis model (Figure 1) was charted out based on, that was proposed by Tam et al. [11] in analyzing the site layout planning problems. However, the methodology of the present model is more generalized compared to Tam et al.’s, intended to handle different types of decision- making problems in construction, involving multiple decision factors.

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A Multi-Criteria Decision Method in the DBSCAN Algorithm for Better Clustering

A Multi-Criteria Decision Method in the DBSCAN Algorithm for Better Clustering

Taking into consideration all the limits evoked previously, this present paper proposes an approach of an unsupervised clustering algorithm based on the density. This algorithm is contributing to the resolution of the problem of clustering in a multidimensional way by using algorithm DBSCAN [25] and integrating a model of similarity inspired of the concept of the multiple-criteria decision analysis [26], [27] [28] [29] [30] [31]. This approach based on the density makes it possible to work on great databases without however determining beforehand the nature and the number of clusters, in this family of clustering much of work exists, quoting by way an example algorithm DGLC [32], OPTICS [33], DENCLUE [34], WaveCluster [35], CLICKS [36], CURD [37] AND DBSCAN [38]. And the choice of DBSCAN algorithm is justified by the fact that beyond supporting several types of data of which those of space, it is particularly effective when the groups are touched or in the presence of noise. It is also effective for the detection of non-convex clusters [38] [39]. It is also advisable to stress that the fact of working with the no modified version of DBSCAN algorithm, which leaves the result of this exploitable work by all other improved DBSCAN algorithms, following the example of OPTICS [33], DVBSCAN [40], VDBSCAN [41], DBCLASD [42], LDD-DBSCAN [43], NDCMD [44], ST-DBSCAN [45].
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A multi-criteria decision approach to sorting actions for promoting energy efficiency

A multi-criteria decision approach to sorting actions for promoting energy efficiency

However, there are several issues that challenge the validity methodologies based on Cost-Benefit Analysis (CBA) for judging EEff initiatives. Firstly, the basic assumptions of the Welfare Economics theory are not universally accepted. Secondly, value judgements are done by analysts and somehow hidden in the calculations, not being available to the decision makers. Thirdly, the methods which could lead to reliable data, namely the economic value of impacts, may be difficult or impossible to apply, forcing the use of questionable data, which may have a significant effect on the resulting indicators supplied to the decision maker. For instance, there is no consensus on how to calculate the value of avoided or added environmental externalities, resulting from EEff initiatives or supply options. These difficulties were notorious during the EU funded ExternE, resulting on wide ranges for external costs of each energy source, and even those had to be subject to serious simplifying assumptions or otherwise they could not be calculated at all (European Commission, 1999a; 1999b; Krewitt, 2002; Sundqvist, 2004). This kind of unreliable data should lead to a lack of confidence on a decision based only on a net benefit or benefit-cost ratio, and even more if the calculation details are hidden from the decision maker, but the fact is that money values usually inspire a degree of confidence that easily supports political decisions, even if they should not.
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Trustworthy Cloud Service Provider Selection using Multi Criteria Decision Making Methods

Trustworthy Cloud Service Provider Selection using Multi Criteria Decision Making Methods

A survey paper on trust and trust management in cloud computing proposed by Firdhous et. al. [3] analyzes the trust management models proposed for cloud computing like Cuboid trust, Eigen trust, Bayesian network based trust, etc. with special emphasis on their capability, applicability, and implementabilty in practical heterogeneous cloud environment and also emphasizes the need for a trust evaluation model. Sun et. al. [4] have proposed a trust management model to evaluate the direct and recommended trust measurements based on fuzzy set theory; which provides a helpful measure for the computation of direct trust, connection of recommended trust, and incorporation of trust chain. However, it does not completely measure the trust degree and the model has not been tested practically. For infrastructure as a service, Alhamad et. al. [5] developed a Sugeno fuzzy inference model to find the trust rating for cloud based online services using scalability, availability, security, and usability as parameters, measures for which are obtained from the opinions of Cloud Computing experts and
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A New Hybrid Approach for Heterogeneous Radio Access Technology Selection

A New Hybrid Approach for Heterogeneous Radio Access Technology Selection

The proposed fuzzy based heterogeneous radio access technology selection using Hybrid Multi- objective decision making algorithm: The authors (Aleksandar and Janevski, 2011) proposed the efficient radio access technology selection that uses the mobile terminal measurements from different radio access technologies. The input parameters considered in (Aleksandar and Janevski, 2011) is received signal strength, cost of the radio access technology, speed of the mobile terminal and QoS like Delay and bit rate. The input parameters are optimized using fuzzy logic controllers, genetic algorithm, particle swarm optimization and multi criteria decision making algorithm for decision making of RAT. The authors (Alkhawlani and Ayesh, 2008) proposed the access network selection based on Fuzzy logic and Genetic algorithm. The authors designed a general multicriteria software assistant that can consider user, operator and the QoS view points.
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Pesqui. Oper.  vol.36 número2

Pesqui. Oper. vol.36 número2

Hub location is a well-established research field in operational research. This is ratified not only by the existence of journals dedicated to location science itself, but also by several review papers offering an overview of research progress over time. Although developments in the hub location area are mainly connected to the need to move people or products, this kind of problem for- mulation is also adopted in telecommunications, where data is distributed via hubs throughout information networks (Alumur & Kara, 2008). In fact, one of the first reviews on hub location was dedicated to the context of communication network architecture, by Klincewicz (1998). Yet, it was only after a period of ten years that Alumur & Kara (2008) presented a new survey, fairly comprehensive, reviewing more than 100 articles related to hub location in general. The authors described mathematical models, solution techniques adopted, and benefits arising from the choice of one technique or another. They also identified the classic data sets available for the models’ evaluation. A special section was dedicated on issues related to economies of scale, and how to include this feature on the models. The survey presented by Alumur & Kara (2008) indicate that, since 2000, the focus of works has shifted from the definition and formulation of new problems to the investigation of new solution methodologies. In general, time and cost were the main criteria to be minimized, especially in freight transportation. The authors also pointed out the need to address multiple criteria decisions, especially with conflicting objectives, as well as to represent the transportation networks more adequately.
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Fuzzy dynamical systems and Invariant attractor sets for  fuzzy strongly continuous semigroups

Fuzzy dynamical systems and Invariant attractor sets for fuzzy strongly continuous semigroups

[5] I. D. Chueshov, Introduction of the Theory of Infinite-Dimensional Dissipative Systems, ACTA, Ukraine, (2002). [6] La´ecio C. de Barros, Rodney C. Bassanezi, Pedro A. Tonelli, On the Continuity of The Zadeh’s Extension, A new Approach to the Inverse Problem for Fractals and other sets- Journ, Math. Anal. and Appl, 171 (1992) 79-100.

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Collaborative framework for virtual organisation synthesis based on a dynamic multi-criteria decision model

Collaborative framework for virtual organisation synthesis based on a dynamic multi-criteria decision model

A brokering engine must assure the effectiveness on the selection of resources. The context changes all time and to velocity to deal with the huge volume, variety and several others heterogeneous resources specifications, require high performance and processing capacity, cluster classification and generative inference rules. Big data processes and infra- structures together with Artificial Intelligence (AI) algorithms shall be used. Cloud computing distributed storage and pro- cessing infra-structures and frameworks (Hadoop, Map- Reduce), dynamic queries and elastics searches algorithms, will assure Big data requirements; On the other hand, Deep Learning with deep neural networks will be potential algo- rithms to support patterns recognition and generative infer rules. The capacity to find the not-evident or expected resources, depends on this generative capacity and, having this, predictive scenarios will be available.
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Bol. Ciênc. Geod.  vol.21 número2

Bol. Ciênc. Geod. vol.21 número2

This research presents a comprehensive approach integrating GIS, AHP, and MCE to identify suitable areas for sustainable ecotourism activities. The main advantages of this approach are weighting of criteria, flexibility, and capability of integrating with GIS. In this research, suitable criteria for ecotourism development were selected based upon expertise opinion, literature reviews, and field studies. It is worth mentioning that site selection criteria for ecotourism development vary in different regions depending on socio-economic and ecological conditions. In this research, land suitability for was performed using a total numb er of 10 criteria and 7 constraints, among which, “distance from water resources”, “slope”, and “land use” were top-three priority criteria. The research finding shows that the combination approach of WLC and GIS is a suitable tool for ecotourism land evaluation. This is the first time that this model is used for ecotourism devolvement of Anzali Watershed. Anzali Basin has a fragile ecosystem that requires careful planning for ecotourism development in a way to mitigate or possibly prevent deterioration of natural resources in tourist destinations. The results of the present study, by identification of suitable areas for ecotourism development, will help decision-makers to prepare an appropriate management plan restricting ecotourism activities only in places with high potentials for ecotourism development.
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Vertical handover in vehicular ad-hoc networks - a survey

Vertical handover in vehicular ad-hoc networks - a survey

A multi criteria algorithm for handoff should also consider the network cost factor. The cost is to be minimized during VHO in wireless networks. The new call arrival rates and handoff call arrival rates can be analyzed using cost function. Next Generation heterogeneous networks can combine their respective advantages on coverage and data rates, offering a high QoS to mobile users. In such environment, multi-interface terminals should seamlessly switch from one network to another in order to obtain improved performance or at least to maintain a continuous wireless connection. Therefore, network selection cost is important in handoff decisions.
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The benefits of global scaling in multi-criteria decision analysis

The benefits of global scaling in multi-criteria decision analysis

Third, swing weighting creates psychological conflict in decision makers: categories that are thought impor- tant for a decision may be assigned negligible weight. Analysts view criteria weights not as indicators of fun- damental importance, but as decision-making tools that are free to vary if that facilitates decision-making. (Gold- stein, 1990, calls these “paramorphic weights.”) We be- lieve that this distinction creates dissonance and confu- sion in some decision-makers and that this dissonance results in failure of the RSP and concomitant poor de- cisions. For example, Schoner, Wedley, and Choo (1992) argue that safety in bridge design becomes unimportant as different designs exceed a safety standard by greater and greater amounts. This is accurate only from an an- alyst’s perspective. Safety remains vitally important to the decision-maker; it is small differences in safety that become unimportant, especially as all options measure farther and farther from a standard. This important psy- chological (and political/sociological) distinction is not violated so long as global scales (instead of local scales) are used.
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