1 Санкт-Петербургский государственный политехнический университет Факультет инноватики Кафедра "Теоретических основ инноватики“ Курс Многокитериальный.

Slides:



Advertisements
Similar presentations
Chapter 12 Analyzing Semistructured Decision Support Systems Systems Analysis and Design Kendall and Kendall Fifth Edition.
Advertisements

Mywish K. Maredia Michigan State University
DECISION MODELING WITH Multi-Objective Decision Making
Lisa White Ph.D. Candidate School of Environment and Sustainability University of Saskatchewan May 30 th, 2012.
Multi‑Criteria Decision Making
Analytical Hierarchy Process (AHP) - by Saaty
Green Recovery And Reconstruction: Training Toolkit For Humanitarian Aid Project Design, Monitoring and Evaluation Session 2: Environmental Monitoring.
Engineering Economic Analysis Canadian Edition
Introduction to Management Science
Copyright © 2006 Pearson Education Canada Inc Course Arrangement !!! Nov. 22,Tuesday Last Class Nov. 23,WednesdayQuiz 5 Nov. 25, FridayTutorial 5.
The Rational Decision-Making Process
Multi Criteria Decision Modeling Preference Ranking The Analytical Hierarchy Process.
COMP8130 and COMP4130 Adrian Marshall Verification and Validation Risk Management Adrian Marshall.
Module 4 Topics: Creating case study decision tree
Introduction to Management Science
Session 6Slide 6-1 Risk Management Lessons from Outside the United States Session 6 Slide Deck.
Warehouse operator selection by combining AHP and DEA methodologies
9-1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall Multicriteria Decision Making Chapter 9.
Multicriteria Decision Making
Decision Making Dr Vasuprada Kartic NAC Batch IX PGDCPM.
Evaluation of Quality of Learning Scenarios and Their Suitability to Particular Learners’ Profiles Assoc. Prof. Dr. Eugenijus Kurilovas, Vilnius University,
ELearning / MCDA Systems Analysis Laboratory Helsinki University of Technology Introduction to Value Tree Analysis eLearning resources / MCDA team Director.
Development of the EAFI (Ethical Aquaculture Food Index); a Sustainability Decision Support Tool for SE Asia Professor Jason Weeks, Dr.
Helsinki University of Technology Systems Analysis Laboratory Ahti Salo and Antti Punkka Systems Analysis Laboratory Helsinki University of Technology.
WP2 Quality of Life Indicators Charles University of Prague Ludek Sykora.
Chapter 8 Architecture Analysis. 8 – Architecture Analysis 8.1 Analysis Techniques 8.2 Quantitative Analysis  Performance Views  Performance.
Knowing what you get for what you pay An introduction to cost effectiveness FETP India.
Jason Chen, Ph.D. Professor of MIS School of Business
Investment Analysis and Portfolio Management Chapter 7.
1 1 Slide © 2004 Thomson/South-Western Chapter 17 Multicriteria Decisions n Goal Programming n Goal Programming: Formulation and Graphical Solution and.
Life Cycle of Products Source: Melanen et al Metals flows and recycling of scrap in Finland. The Finnish Environment 401. Finnish Environment Institute,
Lecture 4 Transport Network and Flows. Mobility, Space and Place Transport is the vector by which movement and mobility is facilitated. It represents.
A GENERIC PROCESS FOR REQUIREMENTS ENGINEERING Chapter 2 1 These slides are prepared by Enas Naffar to be used in Software requirements course - Philadelphia.
1 Quality Center 10.0 NOTE: Uninstall the current version of QC before downloading QC All QC 10.0 documents can be located on the BI Shared Services.
Multi-Criteria Decision Making by: Mehrdad ghafoori Saber seyyed ali
Setting the Stage: Workshop Framing and Crosscutting Issues Simon Hearn, ODI Evaluation Methods for Large-Scale, Complex, Multi- National Global Health.
Chapter 9 - Multicriteria Decision Making 1 Chapter 9 Multicriteria Decision Making Introduction to Management Science 8th Edition by Bernard W. Taylor.
1 A Maximizing Set and Minimizing Set Based Fuzzy MCDM Approach for the Evaluation and Selection of the Distribution Centers Advisor:Prof. Chu, Ta-Chung.
Decision Support System for the Long-Term City Metabolism Planning Problem Work Package 54 Mark Morley, Diogo Vitorino, Kourosh Behzadian, Rita Ugarelli,
Engineering Economic Analysis Canadian Edition
The TIDE impact assessment methodology TIDE Final Conference Barcelona, September 2015 Wuppertal Institute for Climate, Environment and Energy Oliver.
Audit Sampling: An Overview and Application to Tests of Controls
Chapter 14: Using the Scalable Decision Process on Large Projects The process outlined is meant to be scaleable. Individual steps can be removed, changed,
An overview of multi-criteria analysis techniques The main role of the techniques is to deal with the difficulties that human decision-makers have been.
Irrigation Simon Harris and Claire Mulcock. Defining irrigation No categories No segments Clusters of attributes – supply and demand.
1 Лекция 4 Super Decisions. Аналитические Сети Кейс оценки 3х технологий Bobylev (2011) Automation in Construction Санкт-Петербургский государственный.
International Institute for Geo-Information Science and Earth Observation (ITC) ISL 2004 RiskCity Exercise: Spatial Multi Criteria Evaluation for Vulnerability.
Software Architecture Evaluation Methodologies Presented By: Anthony Register.
Nov 2004Joonas Hokkanen1 Dr. Joonas Hokkanen Consulting Engineers Paavo Ristola Ltd Finland Presentation of the EU study (1997) “THE USE OF DECISION-AID.
Federal Department of the Environment, Transport, Energy and Communications DETEC Federal Office for the Environment FOEN Working sessions: Case example.
Program Evaluation Overview. Definitions of Program Evaluation systematic collection of information abut the activities, characteristics, and outcome.
Chapter 7 Measuring of data Reliability of measuring instruments The reliability* of instrument is the consistency with which it measures the target attribute.
WHAT IS THE ROLE OF ECONOMICS IN THE WFD PROCESS? A selection of key economic inputs.
Rob Verheem The Netherlands EIA Commission
S ystems Analysis Laboratory Helsinki University of Technology 1 Decision Analysis Raimo P. Hämäläinen Systems Analysis Laboratory Helsinki University.
Alternative Designs  Why?  Whole or portion?  Expand the solutions.
Water Use Planning Siobhan Jackson BC Hydro Generation November 3, 2004 CEATI Water Management Workshop, Vancouver BC Translating Sustainability Theory.
Company LOGO. Company LOGO PE, PMP, PgMP, PME, MCT, PRINCE2 Practitioner.
ESTIMATING WEIGHT Course: Special Topics in Remote Sensing & GIS Mirza Muhammad Waqar Contact: EXT:2257 RG712.
ON “SOFTWARE ENGINEERING” SUBJECT TOPIC “RISK ANALYSIS AND MANAGEMENT” MASTER OF COMPUTER APPLICATION (5th Semester) Presented by: ANOOP GANGWAR SRMSCET,
This Briefing is: UNCLASSIFIED Aha! Analytics 2278 Baldwin Drive Phone: (937) , FAX: (866) An Overview of the Analytic Hierarchy Process.
Chapter—7 Decision-Making.
Analysis Manager Training Module
Improvement Selection:
METHOD VALIDATION: AN ESSENTIAL COMPONENT OF THE MEASUREMENT PROCESS
Introduction to Multi Criteria Analysis MCA
Introduction to Value Tree Analysis
Chapter 26 Estimation for Software Projects.
Chapter 12 Analyzing Semistructured Decision Support Systems
* 100% = 15 Member States.
Presentation transcript:

1 Санкт-Петербургский государственный политехнический университет Факультет инноватики Кафедра "Теоретических основ инноватики“ Курс Многокитериальный анализ. Методы Саати. Доц. Бобылев Николай Геннадьевич Skype: nikolaibobylev Tel.: Лекция 3 Стратегия разработки многокритериальной задачи

Содержание лекции 3 Рассмотрение проблемы. Это мгогокритериальная проблема? Описание проблемы и постановка многокритериальной задачи Формулировка цели (целей) анализа Существующие и генерируемые альтернативы Критерии – виды, разработка, агрегирование, дескрипторы Выбор софта Создание модели в софте Результат, итерации, анализ, решение, рекоммендация 2

Рассмотрение проблемы. Это мгогокритериальная проблема? Сложная Комплексная Решение не очевидно Конфликт целей\альтернатив 3

Терминология 4 Term Alternative terms ExplanationsExample related to risk analysis Hierarchy structure Value tree -- Assessment goal Objective The essence of the problemEnvironmental quality in the area affected by the initiative Elements of the hierarchy structure Sub-objectives, attributes, criteria, nodes Minor issues describing the assessment goal Biosphere, concentration of pollutants in groundwater Criterion Attribute Lowest element of the hierarchy structure, something to which value is given for different alternatives e.g. percentage green space in a city Alternatives Decision alternative; options Variations in the assessed initiativedesign solutions, policies Value function Utility function Function, which assigns a value to criteria The value is assigned using pairwise comparisons Determining the value of alternatives Scoring Assigning a value to the lowest level elements, criteria, based on assessment of alternatives Calculating the normalised difference between groundwater level deviation under two alternative water abstraction schemes Determining the weight of criteria Weighting Assigning weights to elements of the hierarchy structure which are in one group Expert assessment of the relative importance of groundwater versus surface water elements for environmental quality in the study area Sensitivity analysis - Provides understanding of the outcomes if weights or values were assigned differently Finding out that the criterion “organic contamination in groundwater” is the key to deciding which alternative has less environmental impact Result - Ranking of alternativesA programme for the development of mitigation measures.

Описание проблемы и постановка многокритериальной задачи Дискуссия по возможным решениям Дискуссия по возможным критериям Формулировка целей анализа Сколько многокритериальных задач? Сколько моделей? Какие методы можно применить? Стратегия принятия решения (пример: две модели (МАИ+рейтинги), третья МАС для надежности, итоговая - простые экспертные рейтинги) 5

Шаги (Bobylev, 2008) 6 Step Explanations Define the decision context What is the decision needed to be made? Why it can not be made without conducting AHP? It is important to establish a brief problem description, specifying main conflicting criteria and possible trade-offs needed to be made. Formulate an assessment goal This step naturally derives out of the first one by more strict and clear formulation of the AHP objective. If the first step addresses more general questions about outcomes of AHP, the second step should provide solid base for structuring the AHP. Identify alternatives Usually some alternatives exist, if not they can be generated by analysis of the decision problem. Specify criteria This step is one of the most time-consuming, unless a set of criteria is available from other studies. Criteria are the measures of performance by which the alternatives will be judged. Elaborate a hierarchy structure Hierarchy structure resembles a tree at the top of which is an assessment goal and brunches are criteria. Criteria should be composed into groups; this allows prioritizing their impact on assessment goal. There are different approaches for elaborating a hierarchy structure (see section 3). Weight the criteria Assign weights for each of the criteria to reflect their relative importance to the assessment goal. Pairwise comparisons between criteria are used. Valuate the alternatives Assess the expected performance of each alternative against the criteria. Pairwise comparisons between alternatives are used. Combine the weights and values for each of the alternatives to rate alternatives This step represents calculations using specific AHP equations, computer software is also available. Conduct sensitivity analysis to examine how variation of the scores and weights affect the alternatives ratings. This step allows analyzing alternatives performance using variation of scores and weights. Sensitivity analysis allows identifying how robust the decision-making model is and how ratings are sensitive to variation of particular criteria weights or scores.

Формулировка цели (целей) анализа МАИ – важна четкая формулировка цели Четкая цель – просто делать попарные сравнения МАС – вожможно нексолько целей – стратегические критеии 7

Альтернативы Имеющиеся Генерируемые Реалистичные Четко сформулированные и описанные Сратегия – агрегирование \ детализация 8

Критерии Количественные, качественные, смешанные Критерий может быть описан различными дескрипторами Разработка структуры (список, иерархия) Иерархия: Сверху вниз – детализация Снизу вверх - агрегирование 9

Виды критериев (Bobylev, 2008) 10 Criteria typeExampleExplanation of AHP practicalities QuantitativeConcentration of suspended matter Pairwise comparisons are conducted using ratio of figures under different alternatives QualitativeArea’s historical valuePairwise comparison is based on expert judgement Qualitative scored on the basis of quantitative data Groundwater levelNumerical data can not be subject to direct pairwise comparisons, expert judgement is required

11 Elaboration of hierarchy bottom-up technique Water security Groundwater level Surface waterGroundwater Seasonal mode DynamicsPollutants Groundwater level in the first horizon Groundwater gradient Groundwater level in the second horizon

bottom-up technique 12 Environmental quality Groundwater level Groundwater Dynamics Groundwater level in the first horizonGroundwater level in the second horizon Hydrosphere

13 Elaboration of hierarchy top-down technique Heavy metals ? Nutrients ? Water security Surface waterGroundwater Seasonal mode DynamicsPollutants

top-down technique 14 Heavy metals ? Oils ? Nutrients ? Organic toxins ? Suspended matter ? Hydrosphere environmental quality Surface waterGroundwater Seasonal mode Dynamics Pollutants

Разработка иерархии (Bobylev, 2008) 15 Particular AspectTop-down techniqueBottom-up technique Timing of hierarchy elaboration in the assessment process Early stageLater stage (after criteria are identified) Acquisition of lower level elements (criteria or indicators) Elicited during analysis of higher elements (elements description) Obtained before MCDA assessment stages Arrangement of nodes (grouping the elements) Decomposition (description) of higher elements Aggregation of lower elements (criteria or indicators as the first step) Ability of a hierarchy to be changedLiberal approach – easy to changeStrict approach – difficult to change Main difficultyIdentification of criteria or indicators Aggregation of elements Main drawbackInitial lack of clarity about lower elements Possibility of disagreements and uncertainty about nodes at the middle level (how to aggregate elements into groups) Main strengthGoal-led approach allows strict adherence to purpose of assessment Impact-led approach allows close- linked assessment to input data (criteria or indicators) Underlying intentionsEnhancing positive impactsMitigating negative impacts

Шаги (Bobylev, 2011) 16

Софт Бесплатный – ограничения по числу уровней иерархии и альтернатив Концепции методов в софте хорошо подходят и технически удобны для Вашей задачи 17

Работа! 18

Лекция 3 Домашнее задание 19 Продумать стратегию решения Вашей задачи (проекта) Работать с софтом