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Solving semi-formalized and semi-structured tasks on the basis of a case-based reasoning (CBR) provides to use the accumulated knowledge and experience. Wherein, sometimes it is necessary to improve CBR results, for example, to reduce the set of possible solutions and to ground their correctness not only with the use of a similarity measure. One way to solve this problem is to use mathematical mul...Show More
The relationships between the industrial facilities, the capacity available for these facilities and the costs involved are the main factors in deciding the correct selection of a facility planning. In general, an issue of facility planning is considered to be an unstructured problem of decision-making. The objective of this work is to provide a survey that describes the techniques by which a faci...Show More
In Multi-criteria-group decision making (MCGDM) problems dealing with qualitative information, the experts express their judgments about alternatives according to their degree of knowledge. It is difficult that experts provide precisely their preference about alternatives according to criteria. The interval rough number (IRN) achieved a high attraction to handle this ambiguity in many MCGDM proble...Show More
Over the past few decades, decision-making has gained popularity due to its frequent implications in managerial domains as it enables decision makers to come up with preeminent decisions. This explicit the importance of improved decision making processes given the competitive and dynamic business environment these days. Multi-criteria decision making (MCDM) - a well known decision making process i...Show More
The purpose of this paper is to propose a solution to reduce the number of candidate alternatives in a Multi-Criteria Decision-Making problem. The majority of Multi-Criteria Decision-Making methods suppose a limited number of alternatives, whereas, in the context of massive data processing, such as in Big Data, this condition is no longer necessarily verified. In the proposed solution, as a first ...Show More
This paper introduces the rate-weight connected vectors processor (RWCVP) method to address the lack of multi- criteria decision-making (MCDM) methods in handling uncertainty for solving MCDM problems. According to the literature, RWCVP is the only MCDM method that requires no additional methods and models for solving MCDM problems with uncertain data (e.g., fuzzy logic). The new method computes t...Show More
Information has a dire role when it comes to decision-making, especially in complex multi-domain operational environments. While it can be assumed that obtaining more information is more beneficial, it can lead towards several challenges. For a decision maker, to collect and assess large quantities of information in order to make an informed decision can be a difficult task. The decision-making ta...Show More
The expanding assortment of products and devices available on the market is associated with dynamic technological development. Consequently, the number of parameters taken into account during purchasing decisions is also growing. It causes the choice of the product to be purchased, a multidimensional problem that is difficult to solve and requires a consumer to consider many criteria. The presente...Show More
Since the beginning of the COVID-19 pandemic, the use of protective medical products has tremendously increased. The wastes generated by used products pose a threat to public health. Selection of alternative landfill sites to be determined for medical waste is a challenging task as there are several criteria to consider. Fuzzy multi-criteria decision making (MCDM) approaches can be employed to ove...Show More
Extending the electrical grid for distant areas that are inadequately electrified is not financially viable and certainly not likely to happen in the short to medium term. Remote areas with potential renewable energy sources are possible to power a micro-grid that could supply their unelectrified area. The use of Geographic Information System (GIS) technology in this study provided an efficient to...Show More

Multi-criteria linguistic interval group decision-making approach

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Journal of Systems Engineering and Electronics
Year: 2008 | Volume: 19, Issue: 5 | Journal Article |
For group decision-making problems with linguistic assessment information, a new method based on two-tuple and WC-OWA operator is proposed, in which the criteria's weights and the decision-makers' preference information might take the form of linguistic grade, or might be between two continuous linguistic grades, or might be linguistic interval, or might be default. In this method, all linguistic ...Show More

Multi-criteria linguistic interval group decision-making approach

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Year: 2008 | Volume: 19, Issue: 5 | Journal Article |
This article provides a brief tour through the main fuzzy and linguistic decision-making trends, studies, methodologies, and models developed in the last 50 years. Fuzzy and linguistic decision-making approaches allow to address complex real-world decision problems where humans exhibit vagueness, imprecision, and/or use natural language to assess decision alternatives, criteria, etc. The aim of th...Show More
In multi-criteria decision making (MCDM), it is difficult for decision-makers to give accurate evaluation values, and one-dimensional fuzzy set theory cannot capture periodic and seasonal information. The interval-valued complex fuzzy soft set (IV-CFSS) has these advantages in describing the information, which extends the evaluation value to the interval value, and extends the membership degree fr...Show More
This paper develops a new method based on generalized hybrid Shapley Choquet integral for interval-valued hesitant fuzzy uncertain linguistic multi-criteria group decision making (MCGDM), where interactive characteristics of criteria is taken into account. First, a score function and a new accuracy function are defined to rank the interval-valued hesitant fuzzy uncertain linguistic elements (IVHFU...Show More
Following the importance of distance measures in pattern classification, and their application to many kinds of data, crisp, fuzzy, etc, distance measures between intuitionistic fuzzy sets (IFSs) are proposed and generalized to distances between interval valued intuitionistic fuzzy sets (IVIFSs). The measures are applied to pattern classification and to a decision making problem. The measures show...Show More
The weights of criteria are incompletely known and the criteria values are incomplete and uncertain or even default in some fuzzy multi-criteria decision-making problems. For those problems, an approach based on evidential reasoning is proposed, in which the criteria values are integrated on the basis of analytical algorithm of evidential reasoning, and then nonlinear programming models of each al...Show More
Healthcare waste (HCW) management is considered nowadays to be a major problem especially in developing countries such as Tunisia. However, choosing the appropriate HCW treatment technique is not an easy task. Therefore, the Multi-Criteria Decision Making (MCDM) methods find naturally their place to solve such a problem. In this paper, we address the choice of the best waste treatment technology f...Show More
Availability and diversity of cloud service providers (CSPs) had put the users into confusion for its selection of the appropriate service providers. Some cloud service providers are good at some services while others are good at offering other services. The selection of an appropriate cloud service is one of the multi-criteria decision analysis (MCDA) problems that became a critical issue of publ...Show More
The goal of a multi-criteria decision-making (MCDM) approach is to select one or a few preferred solutions in an iterative manner from a set of Pareto-optimal solutions obtained by a generative or simultaneous evolutionary multi-and many-objective optimization (EMO and EMaO) algorithm. In each iteration, the decision-maker (DM) formulates a suitable scalarized optimization problem using preference...Show More
With the rapid development of Cloud Computing and Service Oriented Computing, the processes of selecting web services which gives the same functionality with different quality of service (QoS) become an important issue. To deal with the large number of candidates, Skyline method is used frequently to find the most pertinent Web services that are not dominated by any other service; whenever, i) the...Show More
Internet service providers (ISPs) are companies that generally provide Internet-related services to customers in multiple forms. They can be classified as Access providers, Mailbox providers, Transit ISPs, Virtual ISPs, Free ISPs or Wireless ISPs. ISPs offer their services at variable costs and such offerings come with varied service levels. Different organizations and individuals pay for the acqu...Show More
The Web services selection based on qualitative characteristics is a complex and relevant task, which is often solved using multi-criteria decision-making (MCDM) methods. Among the MCDM methods, the Logic Scoring of Preference (LSP) method is noticeably less applied. This study aims to assert the consistency and expediency of applying the LSP method for Web service selection. The consistency LSP m...Show More
This research work is based on the development of an intelligent Multi-Criteria Decision-Making Method. Research is mainly focused towards conversion of TOPSIS from its conventional form to an intelligent form. We named this intelligent variation as SMART TOPSIS. Smartness of the TOPSIS is due to implementation of supervised learning Naïve Bayes classification algorithm which allows decision maker...Show More
In recent decades, there have been alterations in the rhythm of nature mainly due to the climate change. In parallel, there has been an increasing social awareness regarding decarbonization and renewable promotion. Most of governments have then included new policies and financing for renewable integration into different sector. In fact, the deployment of technologies based on renewable energies fo...Show More
With the development of online healthcare consultations, more and more doctors provide medical consultation services online. However, due to the poor healthcare knowledge and high consultation fees, selecting a proper doctor becomes a difficult problem for many users. Therefore, this paper investigates a fuzzy linguistic method for evaluating doctors of online healthcare consultation platform. Con...Show More