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Streaming Opera: Compromise Solution or Future-Oriented Reception Form?
For many years, opera as an art form has been in transition: audience figures are falling, while streaming offers, like the European opera streaming...
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Problem of Compromise Allocation in Multivariate Stratified Sampling Using Intuitionistic Fuzzy Programming
The investigators always have difficulty selecting a sample for the practical use of the stratified random sampling, such that the precision of the...
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LoRa interference issues and solution approaches in dense IoT networks: a review
Low Power Wide Area Networks (LPWAN) are prominent option of wireless communication technology for dense Internet of Things (IoT) applications. With...
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Sustainable hierarchical multi-modal hub network design problem: bi-objective formulations and solution algorithms
This paper presents a bi-objective model for the design and optimization of a sustainable hierarchical multi-modal hub network. The proposed model...
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Analysis of Lack of Agreement Between MCDM Methods Related to the Solution of a Problem: Proposing a Methodology for Comparing Methods to a Reference
It is a proven fact that at present, there is no course of action that can evaluate or validate the reliability of the solution reached by a MCDM...
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A compromise solution method for the multiobjective minimum risk problem
We develop an approach which enables the decision maker to search for a compromise solution to a multiobjective stochastic linear programming (MOSLP)...
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A Survey of Solution Path Algorithms for Regression and Classification Models
The loss function expresses the differences between the predicted values from regression or classification models and the actual instances in machine...
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Automatically evolving preference-based dispatching rules for multi-objective job shop scheduling
Dispatching rules represent a simple heuristic for finding good solutions for job shop scheduling problems. Due to their fast applicability and easy...
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Bi-objective load balancing multiple allocation hub location: a compromise programming approach
In this paper we address unbalanced spatial distribution of hub-level flows in an optimal hub-and-spoke network structure of median-type models. Our...
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A hybrid method to solve reliability-cost-oriented bi-objective machine configuration problem for a flow shop system
Machine configuration is a crucial strategic decision in designing a flow shop system (FSS) and directly affects its performance. This involves...
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Extended VIKOR Method Based with Complex Bipolar Fuzzy Sets
The theory presented in this chapter, incredibly provides a multi-skilled framework for the bipolar fuzzy modeling of inconsistent human...
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Optimization of grinding processes using multi-criteria decision making methods in intuitionistic fuzzy environment
To achieve better surface quality and close dimensional tolerance, finishing operations, like surface and cylindrical grinding are widely employed in...
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On solving a healthcare supplier selection problem using MCDM methods in intuitionistic fuzzy environment
Presence of numerous competing suppliers along with conflicting evaluation criteria, increased participation and expectations of the stakeholders...
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Which efficient solution in multi objective programming problem should be taken?
In practical problems, which can be stated in the form of multi objective programming problem, we have usually a large set of efficient solutions....
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On credibilistic multi-objective linear programming problems with generalized intuitionistic fuzzy parameters
This paper first considers an approach based on credibilistic chance constraints and expected values for solving multiple objective linear...
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A compromise programming approach for target setting in DEA
This paper presents a new data envelopment analysis (DEA) target setting approach that uses the compromise programming (CP) method of multiobjective...
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Group Multi-Objective Optimization Under Imprecision and Uncertainty Using a Novel Interval Outranking Approach
This paper deals with group multi-objective optimization problems with imperfect information (imprecision, uncertainty, ill-definition,...
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A fuzzy programming approach to neutrosophic complex nonlinear programming problem of real functions in complex variables via lexicographic order
In this article, a complex nonlinear programming problem with objective function coefficients characterized by neutrosophic numbers and fuzzy...
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An interactive multi-criteria approach to admit new members in international environmental agreements
Whether and how new members can join international fisheries agreements, which are in charge of managing the global commons, is a complex issue and...
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Multi-objective sustainable production planning for a hybrid multi-stage manufacturing-remanufacturing system with grade-based classification of recovered and remanufactured products
In this paper, we address the problem of multi-objective production planning in a hybrid manufacturing and remanufacturing system (HMRS), introducing...
