Search
Search Results
-
Maximum angle evolutionary selection for many-objective optimization algorithm with adaptive reference vector
How to maintain a good balance between convergence and diversity is particularly important for the performance of the many-objective evolutionary...
-
Multi-criteria Methods Using the Reference Points Approach
The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is a modification of the distance reference method developed by...
-
An extended best–worst multiple reference point method: application in the assessment of non-life insurance companies
In this paper a multi-criteria decision-making (MCDM) method is developed to rank a set of insurance companies. The proposed method is based on...
-
Service Reference Model and Requirements
Without rigorous service modeling frameworks, service systems cannot be comprehended by stakeholders/actors and help them to share a common...
-
Applying reinforcement learning to estimating apartment reference rents
In apartment revenue management, rental rates for new and renewal leases are often optimized around a reference rent, which is defined as the...
-
WSNs node localization algorithm based on multi-hop distance vector and error correction
Wireless sensor networks (WSNs) have broad application prospects in various industries, and node localization technology is the foundation of WSN...
-
An economic analysis of standard reference materials
Standard Reference Materials® (SRMs®) are high-technology infrastructural elements developed and distributed by the U.S. national metrology...
-
EEG signal classification via pinball universum twin support vector machine
Electroencephalogram (EEG) have been widely used for the diagnosis of neurological diseases like epilepsy and sleep disorders. Support vector...
-
Comparing Noise Vessel Azimuth Tracking with a Planar Hydrophone Array and a Single Vector Sensor
Vector sensors are appealing for monitoring underwater noise due to its inherent directivity. While acoustic pressure sensors are ambiguous in all...
-
Estimating expectations-based reference-price effects in the used-car retail market
This paper estimates the reference-price effects in consumers’ car purchase decisions exploiting a unique panel data-set on the non-negotiable daily...
-
A semiparametric approach to estimating reference price effects in sales response models
It is well known that store-level brand sales may not only depend on contemporaneous influencing factors like current own and competitive prices or...
-
Applying reinforcement learning to estimating apartment reference rents
In apartment revenue management, rental rates for new and renewal leases are often optimized around a reference rent, which is defined as the...
-
Well-posedness for the optimistic counterpart of uncertain vector optimization problems
In this article, we consider vector optimization problems with uncertain data. We first formulate optimistic counterparts of the reference problems...
-
Company valuation and the nonlinear state marginal price vector model under agency conflicts
In the present contribution, the innovative nonlinear state marginal price vector model introduced in Toll and Kintzel (CEJOR 27(4):1079–1105, 2019)...
-
Preference elicitation for a ranking method based on multiple reference profiles
Multiple criteria decision aid methodologies support decision makers (DM) facing decisions involving conflicting objectives. DM’s preferences should...
-
Vector Optimization in General Spaces
In this chapter, vector optimization problems in linear spaces are studied. Here the notion of vector optimization is used in a very general way. A...
-
Smart sheet metal forming: importance of data acquisition, preprocessing and transformation on the performance of a multiclass support vector machine for predicting wear states during blanking
In consequence of high cost pressure and the progressive globalization of markets, blanking, which represents the most economical process in the...
-
Modeling Heterogeneity in Choice Models, Household Level vs. Intra-household Heterogeneity in Reference Price Effects: Should National Brands Care?
Much of the extant empirical work on consumers’ grocery purchases employ models that are estimated on household scanner panel data. A known...
-
A new common weights DEA model based on cluster analysis
The data envelopment analysis (DEA) is a data-driven tool for performance evaluation. Standard DEA assigns the most favorable weights to...
-
The Whole-Course Logistics Enterprise Credit Reference System Based on Blockchain Technology
In order to solve the problem of credit information asymmetry between whole-course logistics enterprises, this paper proposes a credit reference...