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multi-criteria Fuzzy-Based Decision Making Algorithm to Optimize the VHO Performance in Hetnets

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Computers, Materials & Continua 2022年第1期70卷 323-341页

作者： A.Prithiviraj A.Maheswari D.Balamurugan Vinayakumar Ravi Moez Krichen Roobaea Alroobaea Saeed Rubaiee Sankar Sennan Department of CSE Sona College of TechnologySalem636005India Department of CSE Dr.M.G.R.Educational and Research InstituteChennai600095India Center for Artificial Intelligence PrinceMohammad Bin Fahd UniversityKhobarSaudi Arabia Faculty of CSIT Al-Baha UniversitySaudi Arabia ReDCAD laboratory University of SfaxTunisia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Industrial and Systems Engineering College of EngineeringUniversity of JeddahJaddahSaudi Arabia

Despite the seemingly exponential growth of mobile and wireless communication,this same technology aims to offer uninterrupted access to different wireless systems like Radio Communication,Bluetooth,and Wi-Fi to achieve better network connection which in turn gives the best quality of service(QoS).Many analysts have established many handover decision systems(HDS)to enable assured continuous mobility between various radio access technologies.Unbrokenmobility is one of themost significant problems considered in wireless communication networks.Each application needs a distinct QoS,so the network choice may shift appropriately.To achieve this objective and to choose the finest networks,it is important to select a best decision making algorithm that chooses the most effective network for every application that the user requires,dependent on QoS measures.Therefore,the main goal of the proposed system is to provide an enhanced vertical handover(VHO)decision making programby using amulti-criteriaFuzzy-Based algorithm to choose the best network.Enhanced multi-criteria algorithms and a Fuzzy-Based algorithm is implemented successfully for optimal network selection and also to minimize the probability of false handover.Furthermore,a double packet buffer is utilized to decrease the packet loss by 1.5%and to reduce the number of handovers up to 50%compared to the existing systems.In addition,the network setup has an optimized mobilitymanagement system to supervise the movement of the mobile nodes.

关键词： Vertical handover mobility management handover decision systems multi-criteria fuzzy logic QoS false handover

Simultaneous Approximation of multi-criteria Submodular Function Maximization

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Journal of the Operations Research Society of China 2014年第3期2卷 271-290页

作者： Dong-Lei Du Yu Li Nai-Hua Xiu Da-Chuan Xu Faculty of Business Administration University of New BrunswickFrederictonNB E3B 9Y2Canada Department of Mathematics School of ScienceBeijing Jiaotong University3 ShangyuancunHaidian DistrictBeijing 100044China Department of Applied Mathematics Beijing University of Technology100 PingleyuanChaoyang DistrictBeijing 100124China

Recently intensive interest has been raised on approximation of the NPhard submodular maximization problem due to their theoretical and practical significance.In this work,we extend this line of research by focusing on the simultaneous approximation of multiple submodular function maximization.We address the existence and nonexistence results for both deterministic and randomized approximation when the submodular functions are symmetric and asymmetric,respectively,along with algorithmic corollaries.We offer complete characterization of the symmetric case and partial results on the asymmetric case.

关键词： multi-criteria Submodular function maximization Approximation algorithm Existence

multi-criteria Decision Making Based on Correlation Coefficient of Triangular Intuitionistic Fuzzy Numbers

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Journal of Shanghai Jiaotong university(Science) 2019年第4期24卷 480-484页

作者：吴迪闫相斌彭锐马晓洋 School of Management Xi'an Jiaotong UniversityXi'an710049China Donlinks School of Economics andManagement University of Science and Technology BeijingBeijing100083China School of Economics andManagement Beijing University of TechnologyBeijing100124China

We study a multi-criteria fuzzy decision-making method based on weighted triangular intuitionistic fuzzy number correlation coefficients. Under the scenario that criteria weights for alternatives are completely unknown, triangular intuitionistic fuzzy method can not only supplement the insufficiency of the method based on the distance but also endow more information to the estimation and reduce the loss of evaluation information.Among the triangular numbers, two boundary numbers are the maximum and minimum values of the interval respectively, and the medium number is the most possible value under subjective estimation. Using this method,we propose a new way to obtain the criteria weights with more information quantity. By ranking the relative closeness of the weighted correlation coefficients between each alternative, and the critical and ideal alternatives,we show the method to figure out the most suitable alternative based on the expected criteria. An illustrative example is also taken into account to prove the effectiveness of the model.

关键词： multi-criteria decision making correlation coefficient triangular intuitionistic fuzzy numbers relative closeness

GIS and multi-criteria Decision Analysis for Land Use Resource Planning

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Journal of Geographic Information System 2012年第4期4卷 341-348页

作者： Martine Nyeko Department of Biosystems Engineering Faculty of Agriculture and Environment Gulu University Gulu Uganda

Natural resources management is indispensable in ensuring environmental sustainability and reducing the risk associated with climate change and increasing demand for ecological goods and services. Natural resources planners need to have at their disposal tools that can objectively help in prioritizing land use allocation. Traditional application of land use change model based on economic model, trend analysis, and or scenario analysis present some challenges of data availability and reliability necessary for implementation of the models. However, with the advent of information technology, GIS and remote sensing, biophysical data known for having influence on land use allocation can easily be accessed. The current study explores the application of GIS-multi-criteria analysis in modeling future land use scenarios for resources planning and management using easy to construct biophysical parameters known for influencing future land use allocation. The decision problems in this study are to find the best spatial allocation of land to future agriculture and forest development, which are considered to present critical land use change in the study area. The afforestation scenarios are meant to offset the pressure on the native forest resources due to the increased demand for fuel and timber and also to contribute to the environmental protection and the agricultural land use scenarios are meant to increase productivity and ensure environmental protection. The land use scenarios did not consider “when” in the future the land use pattern may develop. The analyses of scenarios indicate that afforestation extent in the basin can be increased from 4.6% to 42.9% of the total basin area. However, the afforestation extent of 42.9% may be considered unrealistic, since in practice, it may not be possible to realize up to 42.9% afforestation, nevertheless, the spatial pattern of the afforestation may provide crucial insight into spatial afforestation policies and it future consequences. The agricultural land use can increase from 6.

关键词： GIS multi-criteria Analysis Land Use

A multi-criteria decision-making approach for comparing sample preservation and DNA extraction methods from swine feces

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American Journal of Molecular Biology 2012年第2期2卷 159-169页

作者： Sepideh Pakpour Abbas S. Milani Martin R. Chénier Department of Animal Science McGill University Montreal Canada Department of Food Science and Agricultural Chemistry McGill University Montreal Canada School of Engineering University of British Columbia-Okanagan Kelowna Canada

Molecular microbiological methods, such as competetive PCR, real-time PCR, denaturing gradient gel electrophoresis (DGGE) and large-scale parallel-pyrosequencing, require the extraction of sufficient quantity of high quality DNA from microbiologically and chemically complex matrices. Due to difficulties in the field to standardize/select the optimum DNA preservation-extraction methods in view of laboratories differences, this article attempts to present a straight-forward mathematical framework for comparing some of the most commonly used methods. To this end, as a case study, the problem of selecting an optimum sample preservation-DNA extraction strategy for obtaining total bacterial DNA from swine feces was considered. Two sample preservation methods (liquid nitrogen and RNAlater?) and seven extraction techniques were paired and compared under six quantitative DNA analysis criteria: yield of extraction, purity of extracted DNA (A260/280 and A 260/230 ratios), duration of extraction, degradation degree of DNA, and cost. From a practical point of view, it is unlikely that a single sample preservation-DNA extraction strategy can be optimum for all selected criteria. Hence, a systematic multi-criteria decision-making (MCDM) approach was used to compare the methods. As a result, the ZR Fecal DNA MiniPrepTM DNA extraction kit for samples preserved either with liquid nitrogen or RNAlater? were identified as potential optimum solutions for obtaining total bacterial DNA from swine feces. Considering the need for practicality for in situ applications, we would recommend liquid nitrogen as sample preservation method, along with the ZR Fecal DNA MiniPrepTM kit. Total bacterial DNA obtained by this strategy can be suitable for downstream PCR-based DNA analyses of swine feces.

关键词： Sample Preservation DNA Extraction Swine feces multi-criteria Decision-Making Weighed Sum Method

Integrated Scenario Planning and multi-criteria Decision Analysis Framework with Application to Forest Planning

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Open Journal of Forestry 2015年第2期5卷 139-153页

作者： Livia Bizikova Emina Krcmar International Institute for Sustainable Development (IISD) Ottawa Canada Faculty of Forestry University of British Columbia Vancouver Canada

This paper explores approaches concerning complex forest planning challenges, such as restoration after large-scale disturbances and under climate change. It introduces a new framework that integrates qualitative scenario planning with quantitative multi-criteria decision analysis. This framework allows stakeholders without background in forestry to express their preferences as a set of scenarios that are further assessed for specific forest management goals and activities using multi-criteria models. The assessment of the modelled scenarios created a common understanding for the stakeholders and experts to compare trade-offs between several management options and needed policy choices. The framework was applied in the case study of forest restoration following insect disturbance in British Columbia, Canada. The framework enabled structured stakeholder groups’ interactions such as industry, business associations, local and regional governments, and non-governmental organizations to identify potential restoration options. Different community futures were envisioned by two scenarios: one resembling current conditions and standard practices, while another promoting diversification of the forestry sector. The results indicated that each of the scenarios leads to different consequences for the community measured by levels of economic benefits, total harvest volumes and harvest flows over time. The results also show that the developed framework linking scenarios and multi-criteria decision analyses proved crucial to broaden the discussion on relevant species mixes and management practices, and their implications for the community and policy development.

关键词： Forest Restoration Scenario Planning multi-criteria Decision Analyses British Columbia Canada Stakeholders’ Participation

Water Cycle and Irrigation Expansion: An Application of multi-criteria Evaluation in the Limestone Coast (Australia)

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Journal of Water Resource and Protection 2014年第7期6卷 655-668页

作者： Zahra Paydar Yun Chen CSIRO Land and Water Canberra Australia

A summary of the current understanding of the hydrological system in the Limestone Coast in Australia is presented. The regional water balance analysis indicated about 90% of the water is lost through evapotranspiration. Irrigation consumes a substantial part of the groundwater and returns up to half of the water inflow to the aquifer. A multi-criteria analysis using fuzzy quantifiers and analytical hierarchy process was applied for future irrigation expansion. The results showed a total of 94,632 ha of land, considered suitable for irrigation where groundwater is not over-allocated or over used. This model showed some advantages over the conventional multi-criteria evaluation methods as it avoids arbitrary decisions on criteria weightings.

关键词： Land Suitability Regional Water Balance Irrigation Expansion multi-criteria Evaluation

Studying Malaria Epidemic for Vulnerability Zones: multi-criteria Approach of Geospatial Tools

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Journal of Geoscience and Environment Protection 2017年第5期5卷 30-53页

作者： Firoz Ahmad Laxmi Goparaju Abdul Qayum Vindhyan Ecology and Natural History Foundation Mirzapur India Department of Environment and Forest Govt. of Arunachal Pradesh Itanagar India

Introduction: Despite serious interventions worldwide, malaria remains a significant cause of global morbidity and mortality. Malaria endemic zones are predominant in the poorest tropical regions of the world, especially in continental Africa and South-Asia. Major Indian population reside in malaria endemic zones which are tribal dominated and inaccessible. Lack of suitable data, reporting and medical facilities in malaria vulnerable regions handicaps the decision makers in taking adequate steps. Natural resources were mapped to establish their possible linkage with malaria incidence and to delineate malaria hotspots using geo-spatial tools. Methods: Remote sensing data along with various ancillary data such as socio-economic (population in general, child population, tribal population, literacy), epidemiology (Malaria API and Pf cases) and environmental parameters (wetness, forest cover, rainfall, aspect, elevation, slope, drainage buffer, and breeding sites) were integrated on GIS platform using a designed weight matrix. multi criteria evaluation was done to generate hotspot for effective monitoring of malaria incidences. Results: Various thematic layers were utilized for integrated mapping, and the final map depicted 59.1% of the study area is vulnerable to high to very high risk of malaria occurrence. Manoharpur Administrative Block consisted of 89% of its area under high to very high probability of malaria incidence and it needs to be prioritized first for preventing epidemic outbreak. Various village pockets were revealed for prioritizing it for focused intervention of malaria control measures. Conclusions: Geospatial technology can be potentially used to map in the field of vector-borne diseases including malaria. The maps produced enable easy update of information both spatially and temporally provide effortless accessibility of geo-referenced data to the policy makers to produce cost-effective measures for malaria control in the endemic regions.

关键词： Geo-Spatial Tools GIS Integrated Mapping multi-criteria Analysis Remote Sensing

Effectiveness of Fuzzy Overlay Function for multi-criteria Spatial Modeling—A Case Study on Preparation of Land Resources Map for Mawsynram Block of East Khasi Hills District of Meghalaya, India

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Journal of Geographic Information System 2014年第6期6卷 605-612页

作者： Priyanka Baidya Dibyajyoti Chutia Singuluri Sudhakar Chandan Goswami Jonali Goswami Victor Saikhom Puyam S. Singh Kamini Kanta Sarma North Eastern Space Applications Centre Department of Space Government of India Umiam India

multi-criteria spatial modeling is one of the important components of spatial decision support system (SDSS). multi-criteria spatial modeling often requires a common scale of values for diverse and dissimilar inputs to create an integrated analysis. Weighted overlay function is most commonly used for site suitability analysis which identifies the most preferred locations for a specific phenomenon. However, weighted overlay function gives inconsistent and erroneous results for highly dissimilar inputs as it assumes that most favorable factors result in the higher values of raster, while identifying the best sites. This paper conveys the effectiveness of fuzzy overlay function for multi-criteria spatial modeling. It is based on the principle of fuzzy logic theory which defines membership using Gaussian function on each of the input rasters instead of giving individual rank to them like in weighted overlay function. A case study on preparation of land resources map for Mawsynram block of East Khasi Hills district of Meghalaya, India is presented here. It was observed that fuzzy overlay function has given more satisfactory output in terms of site suitability while comparing with the result of weighted overlay function.

关键词： multi-criteria Spatial Modeling Spatial Decision Support System (SDSS) Weighted Overlay Fuzzy Overlay