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    A new mixed fuzzy-LP method for selecting the best supplier using fuzzy group decision making

    , Article Neural Computing and Applications ; Volume 23, Issue SUPPL1 , 2013 , Pages 345-352 ; 09410643 (ISSN) Sepehriar, A ; Eslamipoor, R ; Nobari, A ; Sharif University of Technology
    2013
    Abstract
    Even though there have been so many articles and studies that focused on the supplier selection problem, a few of them considered the major decisions related to supplier selection. In this paper, the supplier selection problem is studied under a novel fuzzy approach in multiple sourcing conditions to select appropriate supplier in group decision-making environment regarding multiple sources. The use of the model is suitable in evaluating situations that involve subjectivity, vagueness and imprecise information. The group data have been used in multiple criteria decision making with multiple objective supplier selection. Trapezoidal fuzzy numbers are applied to evaluate the weights of... 

    Determining a suitable location for a Sewage Treatment Plant using a new fuzzy weighted average (FWA) method based on left and right scores

    , Article 13th Iranian Conference on Fuzzy Systems, IFSC 2013 ; 2013 Abdollah Zadeh, M ; Sadrania, A ; Zibandeh, M ; Rostami, P ; Sharif University of Technology
    IEEE Computer Society  2013
    Abstract
    Finding the most suitable location among some alternatives is one of the most important factors which could affect the whole success of the construction of a facility. The facility site selection is a multiple criteria decision making (MCDM) problem including both quantitative and qualitative criteria. Due to some difficulties in many real life cases, defining the exact values for MCDM problems is almost impractical and, it's preferable to use fuzzy values (fuzzy numbers) in this type of problems. In this study, we try to determine a suitable location for a Sewage Treatment Plant by using a new fuzzy weighted average (FWA) method. For this aim, ten different criteria is defined and then, by... 

    Mathematical analysis of fuel cell strategic technologies development solutions in the automotive industry by the TOPSIS multi-criteria decision making method

    , Article International Journal of Hydrogen Energy ; Volume 36, Issue 20 , 2011 , Pages 13272-13280 ; 03603199 (ISSN) Sadeghzadeh, K ; Salehi, M. B ; Sharif University of Technology
    Abstract
    The mathematical techniques of decision making are among the most valuable outcomes of this research activity, which is generally referred to as realization in the operations, operational research or quantitative methods of decision making. Over time, with the increase in the complexity and the variety of decision making problems, the methods of decision making become more varied and will have more capability of problem solving. Multi-Criteria Decision Making (MCDM) is a collection of methodologies to compare, select, or rank multiple alternatives that involve incommensurate attributes. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is a multiple criteria... 

    A medium-term decision model for disCos: Forward contracting and TOU pricing

    , Article IEEE Transactions on Power Systems ; Volume 30, Issue 3 , 2015 , Pages 1143-1154 ; 08858950 (ISSN) Safdarian, A ; Fotuhi Firuzabad, M ; Lehtonen, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Abstract
    Time varying prices by motivating customers to reduce their consumption in peak periods propel the electricity industry towards a higher efficiency compared to that of common flat prices. Focusing on time-of-use (TOU) sale prices, this paper establishes a stochastic model for the medium-term decision making problem faced by a distribution company (DisCo). The developed model deals with the DisCo's decisions on the level of involvement in forward contracts and in the pool as well as the sale prices offered to customers. The demand response to TOU prices is captured using a price elasticity matrix (PEM). The objective is to maximize the DisCo's profit while the exposure risk imposed by... 

    A new fuzzy multicriteria decision making method and its application in diversion of water

    , Article Expert Systems with Applications ; Volume 37, Issue 12 , 2010 , Pages 8809-8813 ; 09574174 (ISSN) Alipour, M. H ; Shamsai, A ; Ahmady, N ; Sharif University of Technology
    Abstract
    Taking account of uncertainty in multicriteria decision making problems is crucial due to the fact that depending on how it is done, ranking of alternatives can be completely different. This paper utilizes linguistic values to evaluate the performance of qualitative criteria and proposes using appropriate shapes of fuzzy numbers to evaluate the performance of quantitative criteria for each problem with respect to its particular conditions. In addition, a process to determine the weights of criteria using fuzzy numbers, which considers their competition to gain greater weights and their influence on each other is described. A new fuzzy methodology is proposed to solve such a problem that... 

    Toward a collaborative method for knowledge management of software architectural decisions based on trust

    , Article 12th International Conference on Fuzzy Systems and Knowledge Discovery, 15 August 2015 through 17 August 2015 ; 2015 , Pages 828-834 ; 9781467376822 (ISBN) Samghani Nejad, M ; Moaven, S ; Habibi, J ; Alidousti, R
    Institute of Electrical and Electronics Engineers Inc 
    Abstract
    Design and implementation of Architecture is a knowledge-driven process. Evaluation and verification the knowledge, in order to ensure its quality, have important role in improving overall design process. Furthermore, Architectural decision making is a complex and multi-criteria decision making problem in which multiple stakeholders make decisions from their perspectives causing overlaps and conflicts in the adopted decisions. Therefore, the requirement for strategies to manage these issues and also to improve coordination and cooperation among the various stakeholders to improve the overall process design is necessary. In this regard, there have been several activities that focus on... 

    Equilibria in the competitive retail electricity market considering uncertainty and risk management

    , Article Energy ; Volume 106 , 2016 , Pages 315-328 ; 03605442 (ISSN) Kharrati, S ; Kazemi, M ; Ehsan, M ; Sharif University of Technology
    Elsevier Ltd  2016
    Abstract
    In a medium term planning horizon, a retailer should determine its forward contracting and pool participating strategies as well as the selling price to be offered to the customers. Considering a competitive retail electricity market, the number of clients being supplied by any retailer is a function of the selling prices and some other characteristics of all the retailers. This paper presents an equilibrium problem formulation to model the retailer's medium term decision making problem considering the strategy of other retailers. Decision making of any single retailer is formulated as a risk constraint stochastic programming problem. Uncertainty of pool prices and clients' demands is... 

    A novel deterministic model for simultaneous weekly assignment and scheduling decision-making in operating theaters

    , Article Scientia Iranica ; Volume 24, Issue 4 , 2017 , Pages 2035-2049 ; 10263098 (ISSN) Haghi, M ; Fatemi Ghomi, S. M. T ; Hooshangi Tabrizi, P ; Sharif University of Technology
    Abstract
    This paper studies a simultaneous weekly assignment and scheduling decisionmaking problem in operating theaters with elective patients. Because of limited recourses in hospitals, considering assignment and scheduling decisions simultaneously can help mangers exploit the available resources more efficiently and make the work-load uniformly distributed during the planning horizon. This procedure can significantly reduce hospital costs and increase satisfaction of patients and personnel. This paper formulates the mentioned problem as a Mixed Integer Linear Program (MILP) considering applicable assumptions like finite recovery beds and limitation of equipment. Since the problem is NP-hard, in... 

    A new extended analytical hierarchy process technique with incomplete intervalvalued information for risk assessment in IT outsourcing

    , Article International Journal of Engineering, Transactions B: Applications ; Volume 30, Issue 5 , 2017 , Pages 739-748 ; 1728144X (ISSN) Ebrahimnejad, S ; Gitinavard, H ; Sohrabvandi, S ; Sharif University of Technology
    Abstract
    Information technology (IT) outsourcing has been recognized as a new methodology in many organizations. Yet making an appropriate decision with regard to selection and use of these methodologies may impose uncertainties and risks. Estimating the occurrence probability of risks and their impacts organizations goals may reduce their threats. In this study, an extended analytical hierarchical process method is tailored based on interval-valued hesitant fuzzy information to assess the risks in IT outsourcing. In the proposed approach, the weight of each decision maker is implemented in process of the proposed method by considering the concept of simple additive weighting method to decrease the... 

    The Impact of Information Sharing on Performance of an M/M/1 Queueing System

    , M.Sc. Thesis Sharif University of Technology Eshraghi, Mohammad Hossein (Author) ; Abouee-Mehrizi, Hossein (Supervisor)
    Abstract
    Social media can be helpful to people in vast areas, especially in queuing systems, in the real world there is remarkably unknown information like service time, average waiting time or average queue length to customers, thus people are likely to share their experiences to posterior customers who want to use the same service. This research examines the impact of user-generated reviews, on the performances of a Markovian queuing system, we assumed that customers are not aware of the service rate, therefore they will assist next customers by writing reviews about their service time they had experienced. We intend to examine the impact of information on queueing performance such as system... 

    Conditional Value-at-Risk Optimization Applications in Decision Making Problems

    , Ph.D. Dissertation Sharif University of Technology Eskandarzadeh, Saman (Author) ; Eshghi, Kourosh (Supervisor) ; Modarres Yazdi, Mohammad (Co-Advisor)
    Abstract
    In this thesis, the Conditional Value-at-Risk measure (CVaR) is used in two basic decision making problems under uncertainty. This measure is used previously in the field of risk management. The first problem is decision tree problem which is a multi-stage stochastic decision problem. In this problem, the risk of a decision maker is estimated by CVaR measure and a linear programming model is presented by using disjunctive programming theory. The importance of the developed model is in its generality for modeling all problems with decision tree structure. Then, its computational performance is compared to intuitive nonlinear programming models for the problem. Moreover, the presented model... 

    Optimal planning of equipment maintenance and replacement on a variable horizon

    , Article Scientia Iranica ; Volume 11, Issue 3 , 2004 , Pages 185-192 ; 10263098 (ISSN) Kianfar, F ; Sharif University of Technology
    Sharif University of Technology  2004
    Abstract
    In maintenance and replacement planning of an industry, the purchasing of new equipment on the market with some kind of technological improvement over existing equipment should be taken into account. Because of operating cost, ordinary and preventive maintenance expenses may be lower, production rate may be higher and the quality of output may be better, etc. The industry to be considered in this paper is the mining industry and the replaced equipment is the mine shovel. It is assumed that, at most, one new shovel can be purchased before the mine is exhausted. It is possible that the mine is given up before exhausted, because of the disadvantage of the expense and loss of the salvage value... 

    Evaluation of Implementing Machine Learning Methods on Multi-Access Edge Computing Based Networks, Focusing on Computation Offloading

    , M.Sc. Thesis Sharif University of Technology Noorzad, Soroosh (Author) ; Hajsadeghi, Khosrow (Supervisor)
    Abstract
    Many applications that require heavy processing, such as augmented reality, facial recognition, self-driving cars, and digital healthcare systems, are emerging. Many devices in the Internet of Things space cannot process such a volume of calculations. One of the newest methods to solve this problem is using new architectures in network design, among which we can refer to the edge computing architecture. In this method, by offloading the computation on the available computing resources close to the network's end nodes, we try to provide the results of the calculations for the end nodes of the network as quickly as possible. In this thesis, the problem of determining the computation offloading...