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    A novel robust possibilistic programming approach for the hazardous waste location-routing problem considering the risks of transportation and population

    , Article International Journal of Systems Science: Operations and Logistics ; Volume 8, Issue 4 , 2021 , Pages 383-395 ; 23302674 (ISSN) Delfani, F ; Kazemi, A ; SeyedHosseini, S. M ; Akhavan Niaki, S. T ; Sharif University of Technology
    Taylor and Francis Ltd  2021
    Nowadays, fast growth in industrial transformation and urbanization pushes the management of hazardous waste into a crisis for all markets. In this study, a multi-objective mathematical model is introduced to address a new version of the hazardous waste location-routing problem. As another multi-objective optimization model in this research area, the objective functions are minimizing the total costs, the overall risk associated with sending the hazardous waste, and the site risk related to the population in a given distance around the facilities. With regards to the literature and as far as the authors know, this is the first attempt to consider both risks of transportation and population... 

    Possibilistic Art (PoArt), an Approach based on Mind Geometry for Digital Media

    , Article 5th Iranian Conference on Signal Processing and Intelligent Systems, ICSPIS 2019, 18 December 2019 through 19 December 2019 ; 2019 ; 9781728153506 (ISBN) Asasian Kolur, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    This paper, in the domain of digital media, introduces the theoretical basis of possibilistic art. It models the bases of visual art in the atmosphere of possibilistic thought and the fuzzy geometry by introducing meaningful forms and introduces a way for recording and displaying emotional-behavioral responses of artist in the visualcomputational space. Finally, as a function of presented concepts, the paper introduces a semi-algorithm for meaningful deformation. This article, by representation of a method based on the eastern thinking and a computational thinking of the west, make a step in the way of eliminating the theoretic and instrumental shortages of visual arts of Iran in the grounds... 

    A comprehensive review on uncertainty modeling techniques in power system studies

    , Article Renewable and Sustainable Energy Reviews ; Volume 57 , 2016 , Pages 1077-1089 ; 13640321 (ISSN) Aien, M ; Hajebrahimi, A ; Fotuhi Firuzabad, M ; Sharif University of Technology
    Elsevier Ltd 
    As a direct consequence of power systems restructuring on one hand and unprecedented renewable energy utilization on the other, the uncertainties of power systems are getting more and more attention. This fact intensifies the difficulty of decision making in the power system context; therefore, the uncertainty analysis of the system performance seems necessary. Generally, uncertainties in any engineering system study can be represented probabilistically or possibilistically. When sufficient historical data of the system variables is not available, a probability density function (PDF) might not be defined, they must be represented in another manner i.e. using possibilistic theory. When some... 

    On possibilistic and probabilistic uncertainty assessment of power flow problem: A review and a new approach

    , Article Renewable and Sustainable Energy Reviews ; Vol. 37 , 2014 , p. 883-895 ; ISSN: 13640321 Aien, M ; Rashidinejad, M ; Fotuhi-Firuzabad, M ; Sharif University of Technology
    As energy resource planning associated with environmental consideration are getting more and more challenging all around the world, the penetration of distributed energy resources (DERs) mainly those harvesting renewable energies (REs) ascend with an unprecedented rate. This fact causes new uncertainties to the power system context; ergo, the uncertainty analysis of the system performance seems necessary. In general, uncertainties in any engineering system study can be represented probabilistically or possibilistically. When sufficient historical data of the system variables is not available, a probability density function (PDF) might not be defined, while they must be represented in another... 

    Multi-objective sustainable supply chain with deteriorating products and transportation options under uncertain demand and backorder

    , Article Scientia Iranica ; Volume 23, Issue 6 , 2016 , Pages 2977-2994 ; 10263098 (ISSN) Sepehri, M ; Sazvar, Z ; Sharif University of Technology
    Sharif University of Technology 
    Supply chain sustainability, with economic, environmental, and social values, has gained attention in both academia and industry. For deteriorating and seasonal products, like fresh produce, the issues of timely supply and disposal of the deteriorated products are of great concern. This paper is to develop a possibilistic mathematical model, solved after linearizing the non-linear statements, and to propose a new replenishment policy for a centralized Sustainable Supply Chain (SSC) for deteriorating items. Different transportation vehicle options, which produce various pollution and greenhouse gas (GHG) levels, are considered. Several variables such as the end-customer demand, the partial... 

    A possibilistic approach for building statistical language models

    , Article ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications, 30 November 2009 through 2 December 2009, Pisa ; 2009 , Pages 1014-1018 ; 9780769538723 (ISBN) Momtazi, S ; Sameti, H ; Sharif University of Technology
    Class-based n-gram language models are those most frequently-used in continuous speech recognition systems, especially for languages for which no richly annotated corpora are available. Various word clustering algorithms have been proposed to build such class-based models. In this work, we discuss the superiority of soft approaches to class construction, whereby each word can be assigned to more than one class. We also propose a new method for possibilistic word clustering. The possibilistic C-mean algorithm is used as our clustering method. Various parameters of this algorithm are investigated; e.g., centroid initialization, distance measure, and words' feature vector. In the experiments... 

    Multi-Echelon Mixed-loop Supply Chain Network Design under Disruption Conditions

    , M.Sc. Thesis Sharif University of Technology Beheshti, Saeed (Author) ; Haji, Rasoul (Supervisor) ; Haji, Alireza (Supervisor)
    Fulfilling the demands of customers, used to be the main purpose of Supply Chain Network Designers. Soon after that, the environmental concerns created the concept of Reverse Logistic in order to prevent goods from being scattered in the environment after their disposal. Governmental regulations and people's concerns, forced the factories to gather the created pollutions of the environment. They gradualy confessed the positive impacts of these ruturns on their financials. The flow of forward and reverse logistics establishes a Closed-Loop in which the returning economical circumstances were transferd into original factories. Later, Open-Loops were created. In open-loops the returns have to... 

    Robust Optimization of Centralized and Decentralized Blood Supply Chain with Considering Blood Group Compatibility

    , M.Sc. Thesis Sharif University of Technology Aghalari, Amin (Author) ; Kianfar, Farhad (Supervisor)
    Blood supply chains play a key role in the healthcare systems. Any improvement in the management of these chains have a direct impact on the whole healthcare system. In this research two model for centralized and decentralized blood supply chain networks have been developed by mixed integer linear programming. These models are multi-periodic and include both tactical and strategical decisions for the several periods. In this research the blood group compatibility has been considered in the models, also demand and supply of blood have been considered uncertain, and due to this reason in order to deal with the uncertainty of model the robust Possibilistic programming has been utilized to find... 

    Active constrained fuzzy clustering: A multiple kernels learning approach

    , Article Pattern Recognition ; Volume 48, Issue 3 , March , 2015 , Pages 953-967 ; 00313203 (ISSN) Abin, A. A ; Beigy, H ; Sharif University of Technology
    Elsevier Ltd  2015
    In this paper, we address the problem of constrained clustering along with active selection of clustering constraints in a unified framework. To this aim, we extend the improved possibilistic c-Means algorithm (IPCM) with multiple kernels learning setting under supervision of side information. By incorporating multiple kernels, the limitation of improved possibilistic c-means to spherical clusters is addressed by mapping non-linear separable data to appropriate feature space. The proposed method is immune to inefficient kernels or irrelevant features by automatically adjusting the weight of kernels. Moreover, extending IPCM to incorporate constraints, its strong robustness and fast... 

    A Closed-Loop Model for Green Blood Supply Chain Considering Supply and Demand Uncertainty

    , M.Sc. Thesis Sharif University of Technology Azimi, Mehrnaz (Author) ; Akhavan Niaki, Taghi (Supervisor)
    Blood is a very valuable material for the life of human beings and should be transfused to the patient as soon as possible in case of necessity. It is s perishable product and different blood products have different shelf lives. Therefore, it is important to manage properly blood product inventories in hospitals to avoid shortage and outdate as much as possible. In this research, a bi-objective mixed-integer programming model is developed which aims to simultaneously minimize the total cost of the supply chain network and the total environmental impacts of the activities of the supply chain network. Since the nature of the problem is uncertain, a robust possibilistic programming approach is... 

    A bi-objective possibilistic programming model for open shop scheduling problems with sequence-dependent setup times, fuzzy processing times, and fuzzy due dates

    , Article Applied Soft Computing Journal ; Volume 12, Issue 4 , 2012 , Pages 1399-1416 ; 15684946 (ISSN) Noori Darvish, S ; Mahdavi, I ; Mahdavi Amiri, N ; Sharif University of Technology
    We are concerned with an open shop scheduling problem having sequence-dependent setup times. A novel bi-objective possibilistic mixed-integer linear programming model is presented. Sequence-dependent setup times, fuzzy processing times and fuzzy due dates with triangular possibility distributions are the main constraints of this model. An open shop scheduling problem with these considerations is close to the real production scheduling conditions. The objective functions are to minimize total weighted tardiness and total weighted completion times. To solve small-sized instances for Pareto-optimal solutions, an interactive fuzzy multi-objective decision making (FMODM) approach, called TH... 

    Possibilistic evaluation of distributed generations impacts on distribution networks

    , Article IEEE Transactions on Power Systems ; Volume 26, Issue 4 , 2011 , Pages 2293-2301 ; 08858950 (ISSN) Soroudi, A ; Ehsan, M ; Caire, R ; Hadjsaid, N ; Sharif University of Technology
    In deregulated power systems, the distribution network operator (DNO) is not responsible for investment in distributed generation (DG) units, and they are just concerned about the best architecture ensuring a good service quality to their customers. The investment and operating decisions related to DG units are then taken by entities other than DNO which are exposed to uncertainty. The DNO should be able to evaluate the technical effects of these uncertain decisions. This paper proposes a fuzzy evaluation tool for analyzing the effect of investment and operation of DG units on active losses and the ability of distribution network in load supply at presence of uncertainties. The considered... 

    Evaluation of substation reliability indices and outage cost based on fuzzy arithmetic

    , Article 2006 IEEE GCC Conference, GCC 2006, Manama, 20 March 2006 through 22 March 2006 ; 2006 ; 9780780395909 (ISBN) Hatami, A. R ; Fotuhi Firuzabad, M ; Sharif University of Technology
    Substations and switching stations are critical segments in an electric power system. Their impacts on system operation and the consequential effects of their components failure are usually more dominant in overall power system reliability. There is always a degree of uncertainty in the practical input data used in reliability analysis. This paper presents a conceptual possibilistic approach using fuzzy set theory to manage the uncertainties in the reliability input data such as failure rate, repair time and operation of protective devices. Suitable fuzzy numbers are proposed for components reliability data. Load of feeders are also represented by fuzzy numbers and their impact on ENS...