Showing papers in "International Journal of Information Technology and Decision Making in 2018"
TL;DR: A review of 312 published articles appearing in 33 popular journals related to fuzzy set theory, aggregation operator theory and DM approaches between July 1986 and June 2017 has been attained to reach a comprehensive review of DM methods and aggregation operator environment.
Abstract: In many real-life decision making (DM) situations, the available information is vague or imprecise. To adequately solve decision problems with vague or imprecise information, fuzzy set theory and a...
82 citations
TL;DR: The application of the hybrid AHP–TOPSIS-2N model proved to be consistent and robust, generating two priority sorting possibilities aligned with the strategic situation of the organization and a range of improvements in terms of governance and processes for the ITGC of the company.
Abstract: The purpose of this paper is to analyze the results obtained by the information technology (IT) governance committee (ITGC) of a company undergoing a strategic realignment in the sorting and priori...
42 citations
TL;DR: This paper extends the AHP to the probabilistic linguistic environment for perfecting the modeling ability of AHP in various decision-making problems and proposes a new approach to check and improve the consistency of the PLCMs.
Abstract: Analytic Hierarchy Process (AHP) is one of the most favorable decision tools for dealing with complex decision-making problems Probabilistic linguistic term set (PLTS) is an up-to-date tool to deal with uncertain information in the decision-making process In this paper, we extend the AHP to the probabilistic linguistic environment for perfecting the modeling ability of AHP in various decision-making problems In order to apply the PLTSs to the AHP properly, we first redefine the probabilistic linguistic comparison matrix (PLCM) and propose a new consistency index Then, we propose a new approach to check and improve the consistency of the PLCMs After that, we aggregate the individual PLCMs into the collective PLCM and derive the priorities of the collective PLCM Finally, we combine the priorities with the decision matrix to complete the ranking of alternatives, and a case concerning the performance assessments of three new areas is given and the comparative analysis about the results is performed to d
34 citations
TL;DR: The FAHPSorts method is presented — a fuzzy extension of the AHPSort method, which is an adaptation of the AHP method for sorting decision-making problems and handles the vagueness in the meaning of linguistic terms expressing the intensity of preference of one object over another one.
Abstract: Analytic Hierarchy process (AHP) is a powerful method belonging to the full aggregation family of multi-criteria decision-making methods based on pairwise comparisons of objects. Since the informat...
30 citations
TL;DR: A novel meta-heuristic technique — genetic algorithm enabled particle swarm optimization (PSOGA), a hybrid version of PSO and GA algorithm which shows its supremacy over other techniques which are taken into consideration by presenting less makespan time in majority of the cases.
Abstract: Task scheduling is one of the most difficult problems which is associated with cloud computing. Due to its nature, as it belongs to nondeterministic polynomial time (NP)-hard class of problem. Vari...
26 citations
TL;DR: From the results, it is perceived that Deep Learning classification algorithm gives better results compared to other machine learning classifiers such as KNN, Naive Bayes, Random Forest, Random Tree and Neural Net model.
Abstract: Contemporary research in Multimodal Sentiment Analysis (MSA) using deep learning is becoming popular in Natural Language Processing. Enormous amount of data are obtainable from social media such as...
24 citations
TL;DR: An original integrated procedure to evaluate and select suppliers for purchasing decisions that allows simultaneously to take into account the relevant criteria for supplier selection, to capture the situation in which the decision criteria are somehow dependent on one another and to evaluate the positive and negative aspects of the selection process.
Abstract: This paper presents an original integrated procedure to evaluate and select suppliers for purchasing decisions. The procedure exploits the quality function deployment approach to define the supplie...
23 citations
TL;DR: The numbers of experts are increased and decision-making process is performed in an effective way because different opinions are incorporated and stochastic decision process named as Stochastic COPRAS (COPRAS-S) to increase the evaluation performance of COPRas.
Abstract: This study proposes a novel integrated Complex Proportional Assessment (COPRAS) approach by using stochastic decision process named as Stochastic COPRAS (COPRAS-S) to increase the evaluation perfor...
22 citations
TL;DR: A clustering and memory-based chaotic artificial bee colony algorithm, denoted by CMCABC, has been proposed for solving the dynamic optimization problems and the experimental results reveal the appropriate efficiency of the proposedCMCABC method compared to the other state-of-the-art methods in solving dynamic optimize problems.
Abstract: The swarm intelligence optimization algorithms are used widely in static purposes and applications. They solve the static optimization problems successfully. However, most of the recent optimizatio...
21 citations
TL;DR: A new family of intuitionistic fuzzy operators for aggregation of information on interactive criteria/attributes in Multi-Criteria/attribute Decision Making (MCDM/MADM) problems are constructed based on the Choquet integral and the associated probability class of a fuzzy measure.
Abstract: New family of intuitionistic fuzzy operators for aggregation of information on interactive criteria/attributes in Multi-Criteria/attributes Decision Making (MCDM/MADM) problems are constructed. New...
14 citations
TL;DR: The proposed two multiple attribute decision-making (MADM) methods under unbalanced linguistic environments based on the WULMSM operator and WULDMSMoperator are proposed and their advantages are revealed by comparing with the existing methods.
Abstract: In this paper, we firstly introduced the unbalanced linguistic term sets, the linguistic transforming methodology, the Maclaurin symmetric mean (MSM) operator and dual MSM (DMSM) operator. Then, we proposed the closed operational rules of unbalanced linguistic variables, and several new MSM aggregation operators, including unbalanced linguistic MSM (ULMSM) operator, weighted unbalanced linguistic MSM (WULMSM) operator, unbalanced linguistic DMSM (ULDMSM) operator and weighted unbalanced linguistic DMSM (WULDMSM) operator. Further, we proposed two multiple attribute decision-making (MADM) methods under unbalanced linguistic environments based on the WULMSM operator and WULDMSM operator, respectively. Finally, a numerical example is used to show the applicability and effectiveness of the proposed MADM methods and to reveal their advantages by comparing with the existing methods.
TL;DR: This paper proposes some hybrid classification models based on both Genetic Algorithm (Metaheuristics) and two MCDM methods (Weighted Sum (WS) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to carry out the ABC inventory classification.
Abstract: ABC analysis is a widespread classification technique designed to manage inventory items in an effective way by relaxing controls on low valued items and applying more rigorous controls on high val...
TL;DR: A decision model with a dashboard for systematically selecting and improving the performance of supplier in green supply chain management and results demonstrate that the dashboard can enable managers to make better decisions from a systematic perspective.
Abstract: This paper proposes a decision model with a dashboard for systematically selecting and improving the performance of supplier in green supply chain management. The model combines both the decision-m...
TL;DR: A new three-stage DEA model is developed using the concept of three-player Nash bargaining game for PSTS processes, which provides a unique and fair decomposition of the overall efficiency among all three stages and eliminates probable confusion of centralized models for decomposing theOverall efficiency score.
Abstract: The issue of efficiency analysis of network and multi-stage systems, as one of the most interesting fields in data envelopment analysis (DEA), has attracted much attention in recent years. A pure s...
TL;DR: It is proven that NNBag is suitable for use in the assessment of the creditworthiness of applicants, and the superiority of the proposed model (NNBag) is confirmed on two widely available datasets for assessing creditworthiness.
Abstract: The problem of nonperforming loans is one of the biggest problems in the banking sector. In order to mitigate this problem, it is necessary to improve the methods of credit risk assessment. One way...
TL;DR: A MAPLE package “BWM” is developed using only pairwise comparison vectors as the arguments to obtain the unique solution of a given problem by both the Euclidean BWM and linear model of Chebyshev BWM.
Abstract: In this study, we propose Euclidean best–worst method (Euclidean BWM), which does not require any other extra calculations and analysis compared to nonlinear Chebyshev BWM. Using numerical examples...
TL;DR: An application of the KB-DSS to the case of a possible reactivation of Nea Kameni volcano in Santorini is presented to show how the proposed architecture could be applied to a real case.
Abstract: This paper describes a knowledge-based decision support system (KB-DSS) to improve the preparedness of crisis situations induced by natural and technological hazards. The proposed KB-DSS aims to ma...
TL;DR: A linear programming (LP) model is proposed to estimate the efficiency of a decision-making unit (DMU) in the framework of dynamic Data Envelopment Analysis (DEA), and it is shown that a DMU in an assessment window is dynamically efficient when the DMU is dynamically cost/revenue efficient.
Abstract: In this paper, a linear programming (LP) model is proposed to estimate the efficiency of a decision-making unit (DMU) in the framework of dynamic Data Envelopment Analysis (DEA) Necessary and suff
TL;DR: A category theoretic modeling and analysis of single-photon-based decision making is presented, including a quantitative analysis that agrees well with the experimental results and provides insight and a foundation for analyzing more complex and uncertain problems for machine learning and artificial intelligence.
Abstract: Decision making is a vital function in the age of machine learning and artificial intelligence; however, its physical realization and theoretical fundamentals are not yet well understood. In our fo...
TL;DR: This paper proposes a flexible class of multivariate skew normal copulas to model high-dimensional asymmetric dependence patterns and introduces the block coordinate ascent algorithm and discusses its convergence property.
Abstract: The exchangeability and radial symmetry assumptions on the dependence structure of the multivariate data are restrictive in practical situations where the variables of interest are not likely to be associated to each other in an identical manner. In this paper, we propose a flexible class of multivariate skew normal copulas to model high-dimensional asymmetric dependence patterns. The proposed copulas have two sets of parameters capturing asymmetric dependence, one for association between the variables and the other for skewness of the variables. In order to efficiently estimate the two sets of parameters, we introduce the block coordinate ascent algorithm and discuss its convergence property. The proposed class of multivariate skew normal copulas is illustrated using a real data set.
TL;DR: The results suggest that a group decision tool that allows group members to input their individual preferences and then collectively probe into any differences makes the process of decision-making more participatory, transparent, and comprehensible and increases the quality and quantity of information exchange.
Abstract: Identifying the best solutions to large infrastructure decisions is a context-dependent multi-dimensional multi-stakeholder challenge in which competing objectives must be identified and trade-offs...
TL;DR: To solve the proposed multiple objective model, a hybrid algorithm named nondominated sorting genetic algorithm (NSGA-II) with ant colony algorithm and a random crossover and mutation operator, which can find better initial solution, are presented.
Abstract: This paper describes the emergency rescue vehicle transportation network within the entire rescue period, and imitates rescue vehicle to select rescue route and to allocate emergency resource. The ...
TL;DR: The aim of the proposed approach is to benefit the advantages of both probability theory and fuzzy sets theory which may provide a new paradigm for modeling uncertainty in multi-criteria decision-making (MCDM).
Abstract: One of the important points in decision-making is representing the uncertainty. There have been developed approaches which are based on either fuzzy sets theory or probability theory to model the inherent uncertainty and imprecision in the pairwise comparison process of analytic hierarchy process (AHP). This study proposes a hybrid approach that integrates fuzzy sets theory and simulation technique into AHP method to better represent the uncertainty in decision-making process. The aim of the proposed approach is to benefit the advantages of both probability theory and fuzzy sets theory which may provide a new paradigm for modeling uncertainty in multi-criteria decision-making (MCDM). An illustrative example is also presented to show the applicability of the proposed approach.
TL;DR: F fuzzy regression methods are proposed in order to include all the available information from option prices, and to obtain an informative volatility index, and the obtained fuzzy volatility indices not only offer a most possible value, but also a lower and an upper bound for the interval of possible values.
Abstract: The measurement of volatility is of fundamental importance in finance. Standard market practice adopted for volatility estimation from option prices leads to a considerable loss of information and ...
TL;DR: The use of instructional Semantic Web rules to deliver personalized learning recommendations has become an emerging trend in intelligent tutoring systems (ITSs) because it enables experts’ domain expertise to be leveraged.
Abstract: The use of instructional Semantic Web rules to deliver personalized learning recommendations has become an emerging trend in intelligent tutoring systems (ITSs) because it enables experts’ domain k...
TL;DR: The most important strategy and criteria to perform optimum CSR level are “accountability of CSR project” is the best strategy and “Project team work, incentives, Environmental resources, Communication for motivation, Reporting initiative of stockholders” are criteria.
Abstract: Over the last few decades, Corporate Social Responsibility (CSR) disclosures become a powerful driver of overall stakeholders’ development while the relationship between CSR and its performance has...
TL;DR: The present approach is based on the Hadamard’s dissimilarity operator and through an algorithm, the derivation of a reliable and consistent IMPR is synthesized, which can be quantified in terms of row geometric mean method (RGMM) or the eigenvalue method (EM).
Abstract: When a diverse group of experts share their knowledge to ascertain and solve a particular multiple criteria decision-making (MCDM) problem, uncertainty arises from several sources. In those cases, ...
TL;DR: Fuzzy Choquet integral model is developed to explain correlations of multi-criteria and calculate the evaluation results of each expert and an improved Dempster–Shafer theory is utilized to reconcile differences and synthesize each expert decision results.
Abstract: Supply chain partner selection (SCPS) is an important issue for firms to remain highly competitive. SCPS is generally formulated as a fuzzy multi-criteria decision-making problem, of which the most...
TL;DR: Develop HF-AD and HF-AHP which are helpful for the decision makers to express their preferences in hesitant situations which are compared with non-hesitant versions.
Abstract: This paper deals with the hesitancy in decision making. Since the decision makers generally doubt to evaluate the alternatives and the criteria in hesitant situations, the existing methods do not s...
TL;DR: The results underline the importance of the number of reference actions and their distribution per category, theNumber of criteria, and the way in which the reference set is populated to identify contexts for which a particular method may be more appropriate.
Abstract: ELECTRE TRI-C, ELECTRE TRI-nC and THESEUS are recently proposed outranking-based multi-criteria sorting methods. The effectiveness of each method is here characterized by (i) its capacity for sugge...