TL;DR: In this article, a fuzzy analytical hierarchy process (FAHP) and goal programming (GP) were combined to solve the problem of finding suitable locations for infectious waste disposal by considering both total cost and final priority weight objectives.
TL;DR: In this article, the authors considered conditional value at risk as a risk measure by different confidence level in the mean-CVaR and multi-objective proportional change Mean-CVaaR models and compared these models with their previous mean-VaR models.
TL;DR: A priority degree formula for comparing two hesitant fuzzy sets is presented and the desirable priority degree properties studied and a new hesitant fuzzy multiple attribute decision making methodology is proposed.
TL;DR: In this paper, a new decision process is proposed to address the challenge that a large number criteria in the multi-criteria decision making (MCDM) problem and the decision makers with heterogeneous risk preferences.
TL;DR: In this article, the authors considered an k-out-of-n:G repairable system with repairman single vacation and shut off rule where the working times and repair times of components follow exponential distributions, and the duration of the repairman's vacation is governed by a phase type distribution.
TL;DR: The overall conclusion of the empirical findings is that while differences exist among the states, efficiency, coverage, and equality measures for geographical access do not suffer significantly if only a few hospitals are closed in each state, provided these closures are done optimally to minimize impact.
TL;DR: The robust LINMAP method with the assumption of uncertainty on parameters is implemented in the stock market in order to rank priorities of the stocks.
TL;DR: In this paper, real options and more specifically the option to expand, are assumed to be included in the project information in addition to the expected cash flows, and the authors apply the methodology of the Net Present Value to the different scenarios derived from the existence of the real option.
TL;DR: In this article, the authors describe the automatic instantiation of a Variable Neighborhood Descent procedure from a Mixed Integer Programming model using a combination of automatic extraction of semantic features and automatic algorithm configuration.
TL;DR: The notions of weighted and ordinal potential games to a multicriteria setting and the existence of Pareto equilibria in pure strategies and in the finite case and the approximateEquilibria for some classes of infinite potential games are studied.
TL;DR: Wang et al. as mentioned in this paper analyzed the factors affecting decision-making on the provision of business services by Taiwanese accounting firms in Mainland China, in order to provide suggestions and managerial implications to accounting firms on decision making concerning business operations.
TL;DR: In this article, the authors proposed several mixed integer programming models which incorporate optimal sequence properties into the models, to solve single machine family scheduling problems, including total weighted completion time and maximum lateness.
TL;DR: In this paper, the optimal pricing strategy in a discrete-time Geo/Geo/1 queuing system under the sojourn time-dependent reward was studied. And the server should make the pricing decisions in order to maximize its expected profits per time unit in each pricing scheme.
TL;DR: In this article, a non-linear discrete-time mathematical program model is proposed to determine the optimal extraction policy for a single primary supplier of a durable non-renewable resource, such as gemstones or some metals.
TL;DR: This paper analyzes new exact approaches for the multi-mode resource-constrained project scheduling (MRCPSP) problem with the aim of makespan minimization and is the first to close (find the optimal solution and prove its optimality for) 628 open instances with 50 and 100 jobs from the literature.
TL;DR: In this paper, the authors evaluate reconfiguration opportunities in pharmaceutical supply chains (PSC) resulting from technology interventions in manufacturing, and new, more patient-centric delivery models, and provide initial directions towards an integrated systems approach to PSC modelling.