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- research-articleSeptember 2023
Case Article—Pediatrician Scheduling at British Columbia Women’s Hospital
INFORMS Transactions on Education (ITED), Volume 24, Issue 1Pages 35–39https://doi.org/10.1287/ited.2021.0266caThis article describes an in-class role-playing exercise, as well as a case study, on the application of mixed integer programming to help a hospital with physician scheduling. The intended audiences are graduate students or advanced undergraduate ...
- research-articleJanuary 2023
Application of cohort intelligence algorithm for goal programming problems with improved constraint handling method
International Journal of Bio-Inspired Computation (IJBIC), Volume 21, Issue 2Pages 94–105https://doi.org/10.1504/ijbic.2023.130559Goal programming (GP) is a satisficing-based mathematical modelling technique. In this paper, cohort intelligence (CI) algorithm and its variations are applied to solve a variety of GP problems. The penalty function-based and probability-based constrained ...
- ArticleApril 2023
A Survey of Interval Algorithms for Solving Multicriteria Analysis Problems
Parallel Processing and Applied MathematicsPages 441–456https://doi.org/10.1007/978-3-031-30445-3_37AbstractThis paper surveys the research effort of several authors to solve various multicriteria problems, using interval methods. These efforts fall naturally into two categories: approximating the whole Pareto sets and seeking a single solution point ...
- research-articleNovember 2022
Pipeline Route Optimization of Natural Gas Supply System to the Industrial Estate and Household Location: A Conceptual Model
APCORISE '21: Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems EngineeringPages 438–442https://doi.org/10.1145/3468013.3468637Energy demand in Indonesia is increasing rapidly especially for the industrial and household sector. Natural gas is more desirable as the energy source for both sectors. The pipeline is needed to transport natural gas from the supply region to the ...
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- research-articleFebruary 2021
Complex intuitionistic fuzzy preference relations and their applications in individual and group decision‐making problems
International Journal of Intelligent Systems (IJIS), Volume 36, Issue 4Pages 1800–1830https://doi.org/10.1002/int.22361AbstractThis paper aspires to present single and group decision‐making methods based on complex intuitionistic fuzzy (CIF) preference relations (CIFPRs). The presented work is divided into three folds. The first fold is that the concept of CIFPRs is ...
- research-articleDecember 2020
Multicriteria Choice Based on Fuzzy Information
Scientific and Technical Information Processing (SPSTIP), Volume 47, Issue 5Pages 275–283https://doi.org/10.3103/S0147688220050044AbstractThis paper proposes a new method for solving the problem of multicriteria optimization of a numerical vector function on a fuzzy set. The membership function of a fuzzy feasible set is joined to the original set of criteria that allows the ...
- research-articleAugust 2020
Optimization of Energy, Economy, Environmental and Waste Management Strategies and Policies in Indonesia
APCORISE '20: Proceedings of the 3rd Asia Pacific Conference on Research in Industrial and Systems EngineeringPages 69–73https://doi.org/10.1145/3400934.3400949This study aims to develop a model of several conflicting objectives in the economic, environmental, energy, waste, and waste management sectors. In this paper, multi-objective optimization which commonly used to solve problems that have various ...
- research-articleJanuary 2020
Fuzzy multi-objective decision making approach for nuclear power plant installation
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 39, Issue 5Pages 6339–6350https://doi.org/10.3233/JIFS-189101Due to the increase in energy demand, many countries suffer from energy poverty because of insufficient and expensive energy supply. Plans to use alternative power like nuclear power for electricity generation are being revived among developing countries. ...
- articleAugust 2016
Determining the Distribution of Coast Guard Vessels
A typical coast guard has complex responsibilities, subject to its multiple missions in maritime jurisdiction regions. These maritime jurisdiction regions can be partitioned into responsibility areas, and each type of coast guard vessel has a set of ...
- research-articleJanuary 2016
A new method for solving fuzzy linear fractional programming problems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 31, Issue 3Pages 1831–1843https://doi.org/10.3233/JIFS-15712Fuzzy Linear Fractional Programming problem has been used as an important planning tool for the different disciplines such as engineering, business, finance, economics, etc. In this paper, a new algorithm is developed to solve the Fuzzy Linear Fractional ...
- research-articleJanuary 2016
A weighted goal programming approach to estimate the linear regression model in full quasi type-2 fuzzy environment
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 30, Issue 3Pages 1319–1330https://doi.org/10.3233/IFS-152046This study attempts to develop a quasi type-2 fuzzy regression model in full quasi type-2 fuzzy environment. To estimate the parameters of the proposed model, first, a weighted distance between quasi type-2 fuzzy numbers is defined based on L1-norm. Then ...
- articleSeptember 2015
Application of fuzzy goal programming approach to multi-objective linear fractional inventory model
International Journal of Systems Science (IJSS), Volume 46, Issue 12Pages 2269–2278https://doi.org/10.1080/00207721.2013.860639In this paper, we propose a model and solution approach for a multi-item inventory problem without shortages. The proposed model is formulated as a fractional multi-objective optimisation problem along with three constraints: budget constraint, space ...
- articleAugust 2015
The AMEDD Uses Goal Programming to Optimize Workforce Planning Decisions
- Nathaniel D. Bastian,
- Pat McMurry,
- Lawrence V. Fulton,
- Paul M. Griffin,
- Shisheng Cui,
- Thor Hanson,
- Sharan Srinivas
The mission of the Army Medical Department AMEDD is to provide medical and healthcare delivery for the U.S. Army. Given the large number of medical specialties in the AMEDD, determining the appropriate number of hires and promotions for each medical ...
- articleApril 2015
Reentry trajectory optimization for hypersonic vehicles using fuzzy satisfactory goal programming method
International Journal of Automation and Computing (SPIJAC), Volume 12, Issue 2Pages 171–181https://doi.org/10.1007/s11633-014-0823-4Constrained reentry trajectory optimization for hypersonic vehicles is a challenging job. In particular, this problem becomes more difficult when several objectives with preemptive priorities are expected for different purposes. In this paper, a fuzzy ...
- ArticleOctober 2013
A Fuzzy-Based Possibility Measure Approach for Multi-expert Multi-criteria Selection Problem
SMC '13: Proceedings of the 2013 IEEE International Conference on Systems, Man, and CyberneticsPages 741–746https://doi.org/10.1109/SMC.2013.131Nowadays, supply chain coordination (SCC) is considered by researchers and practitioners as one of the active research topics in production and operations management (POM). This paper addresses the development of a fuzzy-based possibility measure with ...
- articleOctober 2013
Automated Bed Assignments in a Complex and Dynamic Hospital Environment
- Bex George Thomas,
- Srinivas Bollapragada,
- Kunter Akbay,
- David Toledano,
- Peter Katlic,
- Onur Dulgeroglu,
- Dan Yang
Interfaces (INTRF), Volume 43, Issue 5Pages 435–448Bed management, an important function of any hospital, has a major impact on patient care, patient flow, patient and staff satisfaction, and ultimately on the hospital's operating margin. A key challenge in bed management is optimizing the bed-...
- articleFebruary 2013
Tracking a benchmark index - using a spreadsheet-based decision support system as the driver
Expert Systems: The Journal of Knowledge Engineering (ESJOKE), Volume 30, Issue 1Pages 79–88https://doi.org/10.1111/j.1468-0394.2012.00624.xThis paper presents a two-phase quantitative approach for enhanced index investing based on the mean-variance model and the goal programming method. In the first stage, we use the mean-variance theory to select better performing stocks for an investment ...
- articleJanuary 2013
On the location selection problem using analytic hierarchy process and multi-choice goal programming
International Journal of Systems Science (IJSS), Volume 44, Issue 1Pages 94–108https://doi.org/10.1080/00207721.2011.581397Location selection is a crucial decision in cost/benefit analysis of restaurants, coffee shops and others. However, it is difficult to be solved because there are many conflicting multiple goals in the problem of location selection. In order to solve ...
- ArticleDecember 2011
Multi-business Services Selection Model and Calculation Method
DASC '11: Proceedings of the 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure ComputingPages 1125–1130https://doi.org/10.1109/DASC.2011.183With more and more applications of the service-oriented methods in the business area, an overwhelming number of business services have arisen. These business services collaborate with each other and form a business network or a services-oriented ...