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UTADIS method in oil exploration in the application of risk rating
1max [Σ + ΣUk] and max [Σ + ΣUk] V, where i = 1,2,[link widoczny dla zalogowanych], ... ..., 6, port = 5,[link widoczny dla zalogowanych], Q = 4. Re-optimization process, the calculation of this set of utility functions and l2,[link widoczny dla zalogowanych], the average threshold to determine the results (see Table 2 and Figure 2). Table 2UTADIS classification method and then the optimization process because the error is still zero,[link widoczny dla zalogowanych], so no miscarriage of justice. Meanwhile, the index can understand the utility function, index g, (market risk) and index g (natural risks) were 32.99% and 24.18% of the weight, is that the six most important indicators. Under both UTADIS method can not only determine the level of risk of a project, but also the overall effectiveness of the project, on the same level to compare different projects. For example, in C, level 3 projects, the largest utility item 2, item 3, the minimum utility. 5UTADIS instances of the model application to conduct the business in a petroleum exploration and development, Volume 7, according to the funding level of each index level utility function in Figure 2 (horizontal and vertical coordinates: level, utility) materials and data, relevant experts are on the breach of contract risk, market risk, interest rate risk, natural risk, geological risk and technology risk score, and then take the weighted average, the final results shown in Table 3. Its risk assessment model using UTADIS level (see Table 4) for decision-making. The total utility of 0.58244, is C, class, lower risk, to the next stage of exploration work. Table 3 to petroleum exploration and development of a risk assessment score 0.04530.16430. o72880.11780.07490.107266 Conclusion This article describes the UTA and UTADIS methods, and applications UTADIS constructed ordinal regression model for petroleum exploration risk rating, due to firm size, capital, different specific operation, different companies can create different UTADIS model reflect the different risk preferences. In this evaluation level questions, UTADIS method can analyze the preferences of decision makers is a powerful tool. UTADIS method can also be applied to the stock rating, credit risk rating and other related areas of classification and discrimination issues, while, with the development of information technology, increasing use of enterprise decision support system (DSS), UTA and UTADIS method as a model part of the library can save time, policy makers, aid planning future action. References: [1] Hu Water Macro, He Sihui. Comprehensive Evaluation Method [M]. Beijing: Science Press, 20o0.14. [2] Guo Zhongwei, risk analysis and decision-making [M]. Beijing: Mechanical Industry Press, 1987.107.117.13JEJacquet-Lagl ~ ze, YSiskos. Assessingasetofadditiveutilityfunctionsformuhicritefiadecision-making [J]. 111euMeth-ods. EuropeanJournalofOperationalResearch, 1982, (10) :151-164 .4 JEJacquet-Lagreze, YSiskos. Preferencedisaggregation: 20yearsofMCDAexperiencelJ]. EuropeanJoumalofOperationalRe-search, 2001,130 (2) :233-245 .15 MichelBeuthe, Giuseppescall / lella. ComparativeanalysisofUTAmuhicfitefiamethods [JJ. EuropeanJournalofOperationalRe-search, 2001,130 (2) :246-262 .6] Hao Liping, cattle Zhuo,[link widoczny dla zalogowanych], TANG Liming. Oil and gas exploration and development and application of risk assessment method J]. Journal of Gansu Sciences, 2001,13 (2): 77.82. J7jZopounidisC, DoumposM. NewOperationalApproachesforFi-nancialModeling [Mj. Heidelbe ~: Physica - Vedag, 1997.417.0/081. ¨ 0/0_. _I:
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