本研究先以LEDLED牙科燈為例，發展出結合修正式FUZZY DANP之修正式FUZZY MOORA方法進一步得到技術改善方案的優先順序及優先改善方案。
本研究將結合修正式FUZZY DANP之修正式FUZZY VIKOR法與結合修正式FUZZY DANP之修正式FUZZY MOORA法代入LEDLED牙科燈所得各自之技術改善方案順序進行比較分析。此外，本研究再將結合修正式FUZZY DANP之修正式FUZZY MOORA法應用在LEDLED集魚燈，經相關文獻探討與各項專利分析，將LEDLED集魚燈第一層技術領域分為1.整體燈具支撐結構技術、2.散熱技術和3.光源照射及控制技術，再由第一層技術領域中，得到第二層技術領域，分為1.支架結構技術、2.防水結構技術、3.水冷卻散熱結構技術、4.氣冷散熱結構技術、5.光源照射範圍技術、6.光源布置及變化技術與7.燈源及電源控制技術七項技術領域，每個技術領域再經由斷詞斷字系統找出重要的技術字和元件關鍵字並依關鍵字出現次數與相關專利全文總字數之比值得出常態化數值。再透過第一層技術領域的三項主要技術領域建立出具有技術相依性的三個技術改善方案，分為A.整體燈具支撐支架結構技術+散熱技術、B. 散熱技術+光源照射及控制技術、C. 整體燈具支撐支架結構技術+光源照射及控制技術。在結合修正式FUZZY DANP及修正式FUZZY MOORA方法中，上述7個技術領域為7個技術準則。本文的修正式FUZZY MOORA方法，其步驟一、先將模糊後W2的χ_ij值進行正規化得到χ_ij^*矩陣，步驟二、再模糊正規化χ_ij^*矩陣得出正規化χ ̃_ij矩陣，步驟三、從W2矩陣中計算各準則j對各方案i的模糊化權重值相加後的總值，且從各準則j對不同方案i中之不同總值中，可觀察出模糊化權重值相加後較大總值所對應的幾個相關準則j對方案i的ij項次，以及模糊化權重值相加後較小總值所對應的幾個相關準則j對方案i的ij項次，由步驟二求出的模糊化後的正規化χ ̃_ij矩陣找出前述準則j對方案i的模糊化權重值相加後的總值較大的準則j對方案i的新的模糊化矩陣，本文將其以新的模糊化矩陣〖χ ̃_ij |〗_(N+)表示。因新的模糊化矩陣〖χ ̃_ij |〗_(N+)，在針對準則j對方案i模糊化權重值相加後的總值較大的正影響值公式∑_(j=1)^h▒〖〖ω_j |〗_(N+)∙〖χ ̃_ij |〗_(N+) 〗中，j項為方案i所示於正影響值公式所對應的準則j，且在此式中j=1到j=h為前述模糊化權重值相加後總值較大的準則j對方案i的j的項次，而在此式中〖ω_j |〗_(N+)為由W_C^D=ω_j得出之ω_j，且進一步在正影響值公式中〖ω_j |〗_(N+)的j為對應於〖χ ̃_ij |〗_(N+)的j項次的準則j，故本文將其以〖ω_j |〗_(N+)表示。
另外，針對從W2矩陣中計算各準則j對各方案i的模糊化權重值相加後的總值，從各準則j對不同方案i中之不同模糊化權重值相加的總值中，可觀察出模糊化權重值相加後較小的模糊化權重值相加的總值所對應的幾個相關準則j對方案i的ij項次。由步驟二求出的模糊化後的χ ̃_ij矩陣找出前述準則j對方案i的模糊化權重值相加的總值較大的以外的其他模糊化權重值相加的總值較小的準則j對方案i的新的模糊化矩陣，本文將其以新的模糊化矩陣〖χ ̃_ij |〗_(N-)表示。因新的模糊化矩陣〖χ ̃_ij |〗_(N-)在針對準則j對方案i模糊化權重值相加後的總值較小的公式負影響值∑_(j=h+1)^n▒〖〖ω_j |〗_(N-)∙〖χ ̃_ij |〗_(N-) 〗中，j項為方案i所示於負影響值公式所對應的準則j，在此式中j=h+1到j=n為前述模糊化權重值相加後總值較小的準則j對方案i的j項次，而在此式中〖ω_j |〗_(N-)為由W_C^D=ω_j得出之ω_j，且在負影響值公式中〖ω_j |〗_(N-)的j為對應於〖χ ̃_ij |〗_(N-)的j項次的準則j，故本文將其以〖ω_j |〗_(N-)表示。步驟四、計算各方案的相對權重值yi並對各方案進行優先順序的排序。若某方案i計算出的相對權重值y_i較大，就表示這方案i有較高的優先順序，最後所計算出的最大權重值y_i的方案i為最優先的選擇方案。
最後再應用LEDLED集魚燈的技術/功能矩陣，對可改善的技術方案選擇出適當的技術準則做改良，並搭配TRIZ創研法則尋找出對應的創新法則，來思考如何改良在LED集魚燈上最優先改善的技術方案，最後提出新的改善設計案例。

Taking LED dental light for case study, the paper develops a modified fuzzy MOORA method being combined with the modified fuzzy DANP to further acquire the priority order of technical improvement plans as well as the prioritized improvement plan.
The paper substitutes the modified fuzzy VIKOR method being combined with the modified fuzzy DANP as well as the modified fuzzy MOORA method being combined with the modified fuzzy DANP in the sequence of the acquired respective technical improvement plans of LED dental light, and then make comparative analysis. Besides, the paper applies the modified fuzzy MOORA method being combined with the modified fuzzy DANP to LED fishing light. After the related literature review and analysis of different patents are made, the paper divides the 1st-layer technical field of fishing. 1. Integral lamp support structure technique; 2. Heat dissipation technique; and 3. Light source illumination and control technique. From the 1st-layer technical field, the 2nd-layer technical field can be acquired, and is divided into 7 technical fields: 1. Support structure technique; 2. Waterproof structure technique; 3. Water cooling and heat dissipation structure technique; 4. Air cooling and heat dissipation structure technique; 5. Light source illumination range technique; 6. Light source layout and change technique; and 7. Light source and power control technique. After each technical field goes through the term and word segmentation system, important technical words and keywords of component can be found. According to the number of times of appearance of the keywords as well as the ratio of total number of words of the related patents in full text, normalized numerical values can be acquired. After that, through 3 main technical fields in the 1st-layer technical field, 3 technical improvement plans with technical interdependence can be established, namely: A. Integral lamp support structure technique + Heat dissipation technique; B. Heat dissipation technique + Light source illumination and control technique; and C. Integral lamp support structure technique + Light source illumination and control technique. In the modified fuzzy MOORA method being combined with the modified fuzzy DANP, the 7 technical fields aforesaid are just the 7 technical criteria of LED fishing light. The paper’s modified fuzzy MOORA method contains these steps: Step 1. Normalize the χ_ij value of the fuzzified W2 to acquire matrix χ_ij^*. Step 2. Fuzzify normalize matrix χ_ij^* to acquire a normalized matrix χ ̃_ij. Step 3. From matrix W2, calculate the total value by adding up the fuzzfied weight values of the pair of each criterion j for each plan i. And from different total values of the pairs of each criterion j for different plans i, it can be observed that after adding up the fuzzified weight values, a greater total value corresponds to item ij of the pair of several related criteria j for plan i; and after adding up the fuzzified weight values, a smaller total value corresponds to item ij of the pair of several related criteria j for plan i. From the fuzzified normalized matrix X ̃_ij acquired in Step 2, find a new fuzzified matrix of the pair of criterion j for plan i in a greater total value after adding up the fuzzified weight values of the pair of criterion j for plan i aforesaid. This new fuzzified matrix is expressed by the paper as 〖χ ̃_ij |〗_(N+). For the new fuzzified matrix 〖χ ̃_ij |〗_(N+), focusing on the positive effect value equation ∑_(j=1)^h▒〖〖ω_j |〗_(N+)∙〖χ ̃_ij |〗_(N+) 〗 in a greater total value after adding up the fuzzified weight values of the pair of criterion j for plan i, item j is the corresponding criterion j of positive effect value equation as shown in plan i. And in this equation, the range from j=1 to j=h is item j of the pair of criterion j for plan i in a greater total value after adding up the fuzzified weight values aforesaid. And in the above equation, the ω_j of 〖ω_j |〗_(N+) is acquired from W_C^D=ω_j. Furthermore, the j of 〖ω_j |〗_(N+) in the positive effect value equation is just criterion j that corresponds to item j of 〖χ ̃_ij |〗_(N+), so that it is expressed by the paper as 〖ω_j |〗_(N+). Besides, focusing on the total value after adding up the fuzzified weight values of the pair of each criterion j for each plan i calculated from matrix W2, from the total value acquired after adding up different fuzzified weight values of the pair of each criterion j for different plans i, it can be observed that after adding up the fuzzified weight values, item ij of the pair of several related criteria j for plan i, is an item that the smaller total value of the sum of fuzzified weight values corresponds to. From the fuzzified matrix χ ̃_ij acquired in Step 2, find a new fuzzified matrix of the pair of criterion j and plan i in a smaller total value after adding up the fuzzified weight values other than the greater total value that is acquired from adding up of the fuzzified weight values of the pair of criterion j for plan i aforesaid. This matrix is expressed by the paper as a new fuzzified matrix 〖χ ̃_ij |〗_(N-). For the new fuzzified matrix 〖χ ̃_ij |〗_(N-), focusing on the negative effect value equation ∑_(j=h+1)^n▒〖〖ω_j |〗_(N-)∙〖χ ̃_ij |〗_(N-) 〗 in a smaller total value after adding up the fuzzified weight values of the pair of criterion j for plan i, item j is the corresponding criterion j of the negative effect value equation as shown in plan i. In this equation, the range from j=h+1 to j=n is item j of the pair of criterion j and plan i in a smaller total value after adding up the fuzzified weight values aforesaid. And in the above equation, the ω_j of 〖ω_j |〗_(N-) is acquired from W_C^D=ω_j. Besides, the j of 〖ω_j |〗_(N-) in the negative effect value equation is just criterion j that corresponds to item j of 〖χ ̃_ij |〗_(N-) , so that it is expressed by the paper as 〖ω_j |〗_(N-). In Step 4, calculate the relative weight value y_i of each plan, and make a priority order of the various plans. If the relative weight value y_i calculated by a certain plan i is greater, it refers that this plan i has higher priority. The plan i with the greatest weight value y_i finally calculated is the most prioritized selected plan. Finally, the technical/functional matrix of LED fishing light is applied. Based on the technical plans to be improved, select appropriate technical criteria for improvement; and with the help of TRIZ innovative research rules, find the corresponding innovative rules, and think about how to improve the LED fishing light’s most prioritized technical improvement plan. In the end a new improvement case of design is proposed.

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